List of contributors |
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xxiii | |
1 Light-fidelity based biosignal transmission |
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1 | (14) |
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1 | (1) |
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2 | (3) |
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Components and methodology |
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5 | (3) |
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5 | (1) |
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5 | (3) |
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8 | (3) |
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8 | (1) |
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8 | (3) |
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11 | (1) |
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12 | (3) |
2 Development of a low-cost color sensor for biomedical applications |
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15 | (16) |
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15 | (1) |
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16 | (1) |
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16 | (1) |
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Application of colorimeter in the medical industry |
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17 | (1) |
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Color measurement of dental prosthesis |
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18 | (1) |
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Blood glucose level measurement |
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19 | (1) |
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20 | (1) |
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21 | (4) |
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Designing the color sensor |
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21 | (1) |
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Designing the graphical user interface |
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22 | (1) |
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22 | (3) |
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25 | (2) |
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Development of the color sensor |
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25 | (1) |
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26 | (1) |
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27 | (1) |
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27 | (4) |
3 Development of a voice-controlled home automation system for the differently-abled |
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31 | (16) |
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31 | (1) |
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32 | (4) |
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36 | (3) |
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36 | (1) |
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Development of Arduino program |
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36 | (2) |
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Development of Android app |
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38 | (1) |
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Design and development of printed circuit board |
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39 | (1) |
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39 | (3) |
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42 | (1) |
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42 | (5) |
4 Lab-on-a-chip sensing devices for biomedical applications |
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47 | (50) |
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47 | (1) |
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Advantages and disadvantages of lab-on-a-chip devices |
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48 | (1) |
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Techno-commercial appraisal of lab-on-a-chips |
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48 | (3) |
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Materials and physical laws relevant for lab-on-a-chips |
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51 | (3) |
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Materials that can be used |
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51 | (1) |
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52 | (1) |
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Reynolds number and Stokes flow |
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52 | (1) |
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53 | (1) |
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53 | (1) |
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54 | (1) |
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Components of lab-on-a-chip devices |
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54 | (12) |
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54 | (6) |
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60 | (1) |
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Sample and reagent introduction |
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61 | (2) |
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Sample and reagent preconcentration |
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63 | (1) |
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Sample and reagent separation |
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64 | (2) |
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66 | (6) |
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Lithography and second cast processes |
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66 | (2) |
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Micromachining etching techniques |
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68 | (1) |
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68 | (2) |
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Maskless patterning techniques |
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70 | (2) |
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72 | (4) |
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72 | (2) |
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Optical detection methods |
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74 | (1) |
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Other detection techniques |
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75 | (1) |
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Some applications of lab-on-a-chip |
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76 | (6) |
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82 | (1) |
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82 | (1) |
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82 | (13) |
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95 | (2) |
5 Impedance-based biosensors |
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97 | (26) |
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97 | (1) |
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Overview of impedance biosensors |
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98 | (8) |
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Transducer architecture of impedance biosensor |
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98 | (1) |
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Theoretical principle of impedance biosensors |
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98 | (3) |
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Representation of impedance data |
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101 | (2) |
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103 | (2) |
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Measurement and instrumentation |
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105 | (1) |
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Types and application of impedance biosensor |
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106 | (9) |
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Biocatalytic impedance biosensor: enzyme as biorecognition molecules |
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106 | (1) |
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Bioaffinity impedance biosensors |
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106 | (7) |
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113 | (2) |
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Recent trends in impedance biosensors |
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115 | (3) |
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115 | (1) |
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Magneto-impedimetric biosensors |
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116 | (1) |
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Surface plasmon resonance-based electrochemical impedance spectroscopy imaging |
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116 | (2) |
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118 | (1) |
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118 | (5) |
6 Acoustophoresis-based biomedical device applications |
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123 | (22) |
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123 | (1) |
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124 | (1) |
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Theory behind acoustophoresis |
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125 | (7) |
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Measuring physical properties of acoustophoresis |
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132 | (1) |
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Measuring motion of particles under acoustic field |
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132 | (1) |
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133 | (3) |
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136 | (3) |
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Application of acoustophoresis in bioengineering |
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139 | (2) |
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141 | (1) |
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141 | (1) |
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141 | (2) |
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143 | (2) |
7 Electroencephalography and near-infrared spectroscopy-based hybrid biomarker for brain imaging |
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145 | (38) |
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Introduction to brain imaging modalities |
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145 | (4) |
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Computed axial tomography |
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146 | (1) |
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Magnetic resonance imaging |
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146 | (1) |
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Functional magnetic resonance imaging |
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147 | (1) |
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Positron emission tomography |
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147 | (1) |
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Functional near-infrared spectroscopy |
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147 | (1) |
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148 | (1) |
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Near-infrared spectroscopy system principle and architecture |
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149 | (2) |
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Propagation of light in tissue and modified Beer-Lambert law |
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150 | (1) |
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Near-infrared spectroscopy data acquisition system |
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151 | (4) |
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Near-infrared spectroscopy device |
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151 | (1) |
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152 | (3) |
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Electroencephalography system architecture and principle |
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155 | (1) |
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History and working mechanism |
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155 | (1) |
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Electroencephalography data acquisition system |
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156 | (5) |
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Electrode placement procedure |
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159 | (1) |
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Montage selection/modes of Electroencephalography acquisition |
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160 | (1) |
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Application of near-infrared spectroscopy and electroencephalography system for brain imaging |
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161 | (2) |
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161 | (1) |
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Application to the cognitive and psychological sciences |
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161 | (1) |
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161 | (1) |
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162 | (1) |
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162 | (1) |
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Biomarkers of brain physiological conditions |
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163 | (2) |
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Identifying disease-specific biomarkers |
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164 | (1) |
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Aspects of association and handy biomarkers |
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164 | (1) |
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The ideal surrogate biomarker |
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165 | (1) |
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Biomarkers: advantages and limitations |
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165 | (1) |
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165 | (4) |
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166 | (1) |
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166 | (1) |
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167 | (1) |
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Functional magnetic resonance imaging |
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168 | (1) |
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Functional near-infrared spectroscopy |
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168 | (1) |
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Computed axial tomography |
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169 | (1) |
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Positron emission tomography |
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169 | (1) |
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169 | (3) |
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Functional imaging properties |
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170 | (1) |
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Hemodynamic methods (fMRI) |
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170 | (1) |
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Electromagnetic methods (EEG) |
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171 | (1) |
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171 | (1) |
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Hybrid system for brain imaging |
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172 | (1) |
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172 | (1) |
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173 | (1) |
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174 | (7) |
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181 | (2) |
8 Micro-electro-mechanical system-based drug delivery devices |
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183 | (28) |
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183 | (3) |
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Need for drug delivery technology |
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183 | (2) |
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Existing drug delivery devices |
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185 | (1) |
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About micro-electro-mechanical systems |
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186 | (1) |
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Various components in micro-electro-mechanical system-based drug delivery systems |
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187 | (15) |
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187 | (7) |
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194 | (2) |
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196 | (2) |
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198 | (2) |
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200 | (1) |
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201 | (1) |
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Micro-electro-mechanical system-based drug delivery system |
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202 | (4) |
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Advantages of micro-electro-mechanical system devices in drug delivery system |
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206 | (1) |
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Limitations and challenges |
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207 | (1) |
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207 | (1) |
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207 | (4) |
9 Enzyme-based biosensors |
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211 | (30) |
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211 | (5) |
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212 | (1) |
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Characteristics of a biosensor |
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212 | (2) |
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Biological recognition and transducing mechanisms |
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214 | (2) |
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216 | (4) |
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Techniques for enzyme immobilization |
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216 | (2) |
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Immobilization techniques for developing micro-nano-sized particles |
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218 | (2) |
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Materials and carriers for fabrication of enzyme-based biosensors |
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220 | (2) |
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220 | (1) |
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221 | (1) |
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Inorganic materials as support |
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221 | (1) |
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222 | (9) |
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Electrochemical enzyme-based biosensors |
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222 | (4) |
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226 | (1) |
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Electrochemilumiescent biosensors |
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227 | (1) |
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228 | (1) |
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Piezoelectric quartz crystal biosensors |
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229 | (1) |
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Thermistor/calorimetric biosensors |
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230 | (1) |
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Challenges in developing enzyme-based biosensors |
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231 | (1) |
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Applications of enzyme-based biosensors in various fields |
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232 | (3) |
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Health and biological applications |
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233 | (1) |
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Environment and agriculture applications |
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233 | (1) |
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Bioprocessing industry applications |
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234 | (1) |
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Food processing and drink analysis applications |
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234 | (1) |
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Security and bioterrorism |
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235 | (1) |
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235 | (1) |
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236 | (5) |
10 Ultrasound-based drug delivery systems |
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241 | (20) |
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241 | (1) |
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Physics of ultrasound-based drug delivery system |
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241 | (11) |
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Factors affecting ultrasound-mediated drug delivery |
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242 | (1) |
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Implications of the ultrasound-mediated delivery |
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243 | (3) |
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246 | (6) |
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Applications of ultrasound-mediated drug delivery systems |
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252 | (6) |
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252 | (3) |
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255 | (1) |
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Transdermal drug delivery |
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255 | (1) |
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256 | (1) |
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257 | (1) |
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Conclusions and future aspects |
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258 | (1) |
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259 | (2) |
11 Electroencephalogram-controlled assistive devices |
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261 | (24) |
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261 | (2) |
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263 | (2) |
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265 | (1) |
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266 | (1) |
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267 | (2) |
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Principal component analysis |
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268 | (1) |
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Independent component analysis |
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268 | (1) |
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Multiscale principal component analysis |
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268 | (1) |
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Feature extraction methods |
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269 | (2) |
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Wavelet packed decomposition |
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270 | (1) |
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Dual tree complex wavelet transform |
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271 | (1) |
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Dimension reduction methods |
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271 | (1) |
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272 | (3) |
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Artificial neural networks |
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272 | (1) |
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273 | (1) |
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273 | (1) |
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Classification and regression tree |
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273 | (1) |
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274 | (1) |
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274 | (1) |
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274 | (1) |
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274 | (1) |
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275 | (1) |
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275 | (1) |
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275 | (5) |
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Experimental results for ERP P300 brain-computer interface database |
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276 | (3) |
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Experimental results for motor imagery brain-computer interface data set |
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279 | (1) |
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Discussion and conclusion |
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280 | (1) |
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281 | (4) |
12 Electromyogram-controlled assistive devices |
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285 | (28) |
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285 | (3) |
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288 | (2) |
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290 | (1) |
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291 | (2) |
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Electromyography for prosthetic control |
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291 | (1) |
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292 | (1) |
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Signal denoising with multiscale principal component analysis |
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293 | (1) |
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Feature extraction methods |
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294 | (2) |
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Discrete wavelet transform |
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295 | (1) |
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Tunable Q-factor wavelet transform |
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295 | (1) |
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Dimension reduction methods |
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296 | (1) |
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296 | (4) |
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Artificial neural networks |
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297 | (1) |
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297 | (1) |
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297 | (1) |
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Classification and regression tree |
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298 | (1) |
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Reduced-error pruning tree |
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298 | (1) |
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Logical analysis of data tree |
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298 | (1) |
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298 | (1) |
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299 | (1) |
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299 | (1) |
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299 | (1) |
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300 | (6) |
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Performance evaluation measures |
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300 | (1) |
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301 | (4) |
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305 | (1) |
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Conclusion and future directions |
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306 | (1) |
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306 | (7) |
13 Electrical safety |
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313 | (18) |
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What is electrical safety? |
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313 | (1) |
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Why is it important in medical applications? |
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313 | (1) |
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Physiological effects of electricity |
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314 | (1) |
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314 | (1) |
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315 | (2) |
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316 | (1) |
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316 | (1) |
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Measurement of electrical leakage current |
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317 | (3) |
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International standards in electrical safety |
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320 | (6) |
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IEC 60601-1:2005 standard |
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320 | (5) |
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325 | (1) |
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Electrical safety analyzer |
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326 | (3) |
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329 | (1) |
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329 | (1) |
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330 | (1) |
14 Biomedical metrology |
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331 | (24) |
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What is biomedical metrology |
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331 | (1) |
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The difference between the biomedical metrology and calibration |
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331 | (1) |
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Application of biomedical metrology |
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332 | (1) |
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The devices used in biomedical metrology |
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333 | (3) |
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333 | (1) |
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333 | (1) |
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Testing/Measuring instruments |
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334 | (1) |
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334 | (2) |
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Workflow in biomedical metrology |
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336 | (15) |
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Determination of the devices to be measured |
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338 | (2) |
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Performing of the measurements according to the international standards |
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340 | (1) |
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Interpretation of the measurement results |
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341 | (5) |
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Labeling of devices after the measurements |
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346 | (4) |
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Preparation of the certificates |
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350 | (1) |
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Supervision of biomedical metrology services |
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351 | (1) |
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352 | (1) |
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352 | (3) |
15 Bone-implantable devices for drug delivery applications |
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355 | (38) |
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355 | (1) |
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356 | (1) |
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Bone fracture healing process |
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357 | (1) |
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Polymer-based bone-implantable drug delivery devices |
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357 | (13) |
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357 | (6) |
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363 | (7) |
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Inorganic material-based bone-implantable drug delivery devices |
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370 | (6) |
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370 | (6) |
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Polymeric-inorganic bone-implantable drug delivery devices |
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376 | (3) |
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379 | (1) |
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379 | (14) |
16 Iontophoretic drug delivery systems |
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393 | (28) |
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393 | (1) |
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394 | (1) |
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Principles and mechanisms of iontophoretic drug delivery |
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395 | (2) |
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Advantages and disadvantages of iontophoresis systems |
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397 | (1) |
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Factors influencing the iontophoretic drug delivery |
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398 | (4) |
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Physicochemical characteristics of drugs |
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398 | (2) |
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Drug formulation characteristics |
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400 | (1) |
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400 | (2) |
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402 | (1) |
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Applications of iontophoretic drug delivery |
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402 | (10) |
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Iontophoretic delivery of nonsteroidal antiinflammatory drugs |
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402 | (2) |
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Iontophoretic delivery of opioids |
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404 | (1) |
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Iontophoretic delivery of steroids |
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404 | (1) |
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Iontophoretic delivery of local anesthetics |
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405 | (1) |
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Iontophoretic delivery of drugs acting on the central nervous system |
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406 | (2) |
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Iontophoretic delivery of cardiovascular drugs |
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408 | (1) |
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Iontophoretic delivery of proteins and peptides |
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409 | (2) |
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411 | (1) |
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412 | (1) |
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413 | (7) |
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420 | (1) |
17 Microneedle platform for biomedical applications |
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421 | (22) |
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421 | (4) |
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Microfabrication technology |
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425 | (1) |
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425 | (1) |
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425 | (1) |
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Fabrication techniques for microneedles |
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425 | (7) |
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Silicon microneedles fabrication |
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425 | (2) |
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Metal, glass, and ceramic microneedles fabrication |
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427 | (2) |
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Polymeric microneedles fabrication |
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429 | (1) |
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Sugar glass microneedles fabrication |
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430 | (1) |
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431 | (1) |
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Characterization techniques for microneedles |
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432 | (4) |
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432 | (2) |
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Scanning electron microscopy |
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434 | (1) |
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434 | (2) |
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436 | (1) |
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437 | (1) |
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438 | (5) |
18 Trends in point-of-care microscopy |
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443 | (40) |
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443 | (1) |
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Point-of-care devices: historical perspective |
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444 | (3) |
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Point-of-care devices: outlining the diversity |
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447 | (2) |
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449 | (14) |
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The need for point-of-care microscope |
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450 | (1) |
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Point-of-care microscopes: fabrication approaches |
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451 | (12) |
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463 | (12) |
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Point-of-care microscopes: the market view |
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475 | (1) |
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475 | (1) |
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475 | (1) |
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Conclusion and future direction |
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475 | (1) |
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476 | (7) |
19 Development of spectroscopy-based medical devices for disease diagnosis in low resource point-of-care setting |
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483 | (10) |
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483 | (1) |
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Optical properties of blood and different body parameters |
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484 | (1) |
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Optical components and software design for the spectroscopy-based diagnosis |
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485 | (1) |
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A minimally invasive biomedical instrument for hemoglobin detection |
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486 | (4) |
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Noninvasive biomedical instrument for hemoglobin and bilirubin detection |
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486 | (4) |
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490 | (1) |
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490 | (3) |
20 Dielectrophoresis-based devices for cell patterning |
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493 | (20) |
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493 | (1) |
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Impact of dielectrophoretic force on a polarizable particle |
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494 | (2) |
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Electrode configurations for nonuniform electric field generation |
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496 | (1) |
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Influence of dielectrophoretic force on mammalian cell behavior |
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497 | (1) |
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Dielectrophoresis suspension buffer influences mammalian cell behavior under electric field |
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498 | (8) |
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Developments in dielectrophoresis-based two-dimensional cell patterning |
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|
500 | (4) |
|
Dielectrophoresis-based three-dimensional cell patterning |
|
|
504 | (2) |
|
Immobilization strategies for the patterned cells |
|
|
506 | (1) |
|
Challenges and future prospects of dielectrophoresis-based cell-patterning |
|
|
506 | (2) |
|
|
508 | (5) |
21 Multichannel surface electromyography |
|
513 | (24) |
|
|
Introduction to surface electromyography |
|
|
513 | (1) |
|
Overview of surface electromyography |
|
|
513 | (1) |
|
History of electromyography |
|
|
514 | (1) |
|
Measurement of surface electromyography |
|
|
514 | (9) |
|
Electromyography signal generation |
|
|
514 | (1) |
|
Detection of the surface electromyography signal |
|
|
515 | (1) |
|
|
516 | (1) |
|
|
517 | (1) |
|
|
518 | (1) |
|
Muscle coordination and temporal information |
|
|
518 | (1) |
|
|
519 | (1) |
|
|
520 | (2) |
|
Time-frequency and wavelet analyses |
|
|
522 | (1) |
|
Sensors for surface electromyography collection |
|
|
523 | (1) |
|
Applications of surface electromyography |
|
|
523 | (2) |
|
Multichannel and high-density surface electromyography |
|
|
525 | (3) |
|
Overview of multichannel electromyography |
|
|
525 | (2) |
|
|
527 | (1) |
|
Sensors for multichannel and high-density surface electromyography collection |
|
|
527 | (1) |
|
Applications of multichannel surface electromyography |
|
|
528 | (2) |
|
Future research directions |
|
|
530 | (1) |
|
|
531 | (1) |
|
|
531 | (6) |
22 Sensors for monitoring workplace health |
|
537 | (18) |
|
|
Introduction to ergonomics and human factors engineering |
|
|
537 | (1) |
|
Elements of workplace health |
|
|
538 | (2) |
|
Measurement of workplace health |
|
|
540 | (5) |
|
|
541 | (1) |
|
Direct observation techniques |
|
|
541 | (2) |
|
Direct measurement techniques |
|
|
543 | (1) |
|
Sensors to monitor workplace health |
|
|
543 | (2) |
|
|
545 | (1) |
|
|
546 | (1) |
|
Accelerometry-based wearable activity monitors |
|
|
547 | (1) |
|
|
547 | (1) |
|
Neuroergonomics and electroencephalography |
|
|
548 | (1) |
|
Future directions in sensor technology for workplace health |
|
|
549 | (1) |
|
|
550 | (1) |
|
|
551 | (4) |
23 Advances in enzyme-based electrochemical sensors: current trends, benefits, and constraints |
|
555 | (36) |
|
|
|
|
|
|
555 | (5) |
|
Molecular recognition elements |
|
|
556 | (1) |
|
|
557 | (1) |
|
Enzyme-based electrochemical biosensors |
|
|
558 | (2) |
|
Oxidoreductase-based electrochemical biosensors |
|
|
560 | (4) |
|
|
560 | (3) |
|
|
563 | (1) |
|
|
564 | (2) |
|
|
566 | (1) |
|
|
566 | (1) |
|
Electrochemical regeneration |
|
|
567 | (1) |
|
Photochemical regeneration |
|
|
568 | (1) |
|
Nonoxidoreductase-based electrochemical biosensors |
|
|
568 | (9) |
|
Kinase-based electrochemical sensors |
|
|
569 | (8) |
|
Acetylcholinesterase biosensors |
|
|
577 | (3) |
|
Conclusion and future trends |
|
|
580 | (1) |
|
|
581 | (1) |
|
|
581 | (9) |
|
|
590 | (1) |
24 Electrocardiogram signal processing-based diagnostics: applications of wavelet transform |
|
591 | (24) |
|
|
|
|
|
591 | (1) |
|
Morphological description of electrocardiogram signal |
|
|
592 | (1) |
|
|
593 | (3) |
|
|
593 | (1) |
|
|
594 | (1) |
|
|
595 | (1) |
|
|
595 | (1) |
|
|
596 | (1) |
|
Basics of the wavelet transforms |
|
|
596 | (5) |
|
Continuous wavelet transform |
|
|
597 | (2) |
|
Discrete wavelet transform |
|
|
599 | (2) |
|
Wavelet transforms-based electrocardiogram signal processing for disease diagnostics |
|
|
601 | (9) |
|
|
603 | (3) |
|
Detection of coronary artery disease |
|
|
606 | (1) |
|
Detection of myocardial infarction |
|
|
607 | (3) |
|
|
610 | (1) |
|
|
611 | (4) |
25 Sensor fusion and control techniques for biorehabilitation |
|
615 | (20) |
|
|
|
|
615 | (6) |
|
|
621 | (1) |
|
Biological control phenomenon |
|
|
621 | (1) |
|
Different control techniques used in industry |
|
|
621 | (1) |
|
Available biomimicking control techniques |
|
|
622 | (1) |
|
Biorehabilitation techniques |
|
|
622 | (2) |
|
Artificial neural network |
|
|
624 | (6) |
|
Neurological rehabilitation |
|
|
625 | (1) |
|
|
626 | (1) |
|
|
626 | (1) |
|
Occupational rehabilitation |
|
|
626 | (1) |
|
|
626 | (1) |
|
|
627 | (1) |
|
|
627 | (1) |
|
Intensive outpatient therapy |
|
|
627 | (1) |
|
Independent ongoing conditioning |
|
|
627 | (1) |
|
|
627 | (1) |
|
|
628 | (1) |
|
Vestibular rehabilitation |
|
|
629 | (1) |
|
|
629 | (1) |
|
|
630 | (1) |
|
Real-time control of rehabilitation devices |
|
|
630 | (1) |
|
Exoskeleton control strategy and existing devices |
|
|
631 | (1) |
|
|
631 | (1) |
|
|
632 | (1) |
|
|
632 | (3) |
26 Biofunctional interfaces for cell culture in microfluidic devices |
|
635 | (66) |
|
|
|
|
|
|
|
|
635 | (1) |
|
Approaches for creating biofunctional interfaces in microfluidics |
|
|
636 | (32) |
|
|
636 | (2) |
|
|
638 | (5) |
|
|
643 | (4) |
|
|
647 | (12) |
|
|
659 | (3) |
|
|
662 | (6) |
|
Surface blocking strategies for controlled cell adhesion |
|
|
668 | (3) |
|
|
671 | (12) |
|
Affinity-based cell sorting and separation in microfluidic devices |
|
|
671 | (4) |
|
|
675 | (5) |
|
Biosensing for cell detection |
|
|
680 | (3) |
|
|
683 | (1) |
|
|
683 | (18) |
27 Microsystems technology for high-throughput single-cell sorting |
|
701 | (20) |
|
|
|
|
|
|
Microsystems and single-cell assays |
|
|
701 | (3) |
|
Convex, spherical, and tubular microwells |
|
|
704 | (6) |
|
Microfluidic and microwell device challenges |
|
|
710 | (2) |
|
|
712 | (1) |
|
|
712 | (1) |
|
|
712 | (9) |
28 Microfluidic devices for DNA amplification |
|
721 | (44) |
|
|
|
|
|
721 | (1) |
|
Polymerase chain reaction |
|
|
722 | (1) |
|
Microfluidic systems for polymerase chain reaction |
|
|
722 | (14) |
|
Microfluidic devices for polymerase chain reaction with stationary chambers |
|
|
723 | (4) |
|
Microfluidic polymerase chain reaction devices with flow-through channels |
|
|
727 | (4) |
|
Microfluidic devices for polymerase chain reaction with naturally driven convective flow |
|
|
731 | (2) |
|
Microfluidic polymerase chain reaction devices using the droplets |
|
|
733 | (3) |
|
Isothermal DNA amplification methods |
|
|
736 | (3) |
|
Loop-mediated isothermal amplification |
|
|
736 | (2) |
|
Nucleic acid sequence-based amplification |
|
|
738 | (1) |
|
Helicase dependent amplification |
|
|
738 | (1) |
|
Rolling circle amplification |
|
|
738 | (1) |
|
Strand displacement amplification |
|
|
739 | (1) |
|
Microfluidic systems for loop-mediated isothermal amplification |
|
|
739 | (11) |
|
Microfluidic loop-mediated isothermal amplification systems with chambers |
|
|
739 | (7) |
|
Microfluidic devices for loop-mediated isothermal amplification using droplets |
|
|
746 | (1) |
|
Microfluidic integrated devices for loop-mediated isothermal amplification |
|
|
747 | (3) |
|
Heating methods for loop-mediated isothermal amplification-based systems |
|
|
750 | (1) |
|
Detection methods for loop-mediated isothermal amplification-based systems |
|
|
751 | (3) |
|
|
751 | (1) |
|
Electrochemical detection |
|
|
752 | (1) |
|
Real-time turbidity detection |
|
|
753 | (1) |
|
Naked eye-based detection |
|
|
753 | (1) |
|
|
754 | (1) |
|
|
755 | (10) |
29 Optimizing glucose sensing for diabetes monitoring |
|
765 | (14) |
|
|
|
|
765 | (1) |
|
|
766 | (8) |
|
Optimizing glucose monitoring in blood |
|
|
766 | (8) |
|
|
774 | (1) |
|
|
774 | (3) |
|
|
777 | (2) |
30 Brain-computer interface-functional electrical stimulation: from control to neurofeedback in rehabilitation |
|
779 | (14) |
|
|
|
|
779 | (2) |
|
Combining brain-computer interface with functional electrical stimulation |
|
|
781 | (2) |
|
Brain-computer interface-functional electrical stimulation in rehabilitation |
|
|
783 | (1) |
|
Importance and types of brain-computer interface feedback |
|
|
784 | (3) |
|
|
786 | (1) |
|
|
786 | (1) |
|
Possibility of functional electrical stimulation as feedback |
|
|
787 | (1) |
|
|
788 | (1) |
|
|
789 | (1) |
|
|
790 | (3) |
31 Motor imagery classification enhancement with concurrent implementation of spatial filtration and modified stockwell transform |
|
793 | (26) |
|
|
|
|
|
|
|
793 | (2) |
|
|
795 | (11) |
|
Description of electroencephalography signal datasets |
|
|
795 | (2) |
|
Channel selection of electroencephalography based on types of motor imagery tasks |
|
|
797 | (1) |
|
Preprocessing: spatial filtration of raw electroencephalography signals |
|
|
797 | (1) |
|
Stockwell transform and subsequent feature extraction |
|
|
798 | (5) |
|
|
803 | (3) |
|
|
806 | (3) |
|
Comparative performance analysis among different machine learning classifiers |
|
|
807 | (1) |
|
Performance analysis using least square-support vector machine |
|
|
807 | (2) |
|
|
809 | (3) |
|
|
812 | (1) |
|
|
813 | (4) |
|
|
817 | (2) |
32 A hybrid wireless electroencephalography network based on the IEEE 802.11 and IEEE 802.15.4 standards |
|
819 | (14) |
|
|
|
|
819 | (1) |
|
Background and evolution of electroencephalography |
|
|
820 | (1) |
|
Advantages of wireless electroencephalography recorders |
|
|
820 | (1) |
|
The IEEE standard wireless standards |
|
|
821 | (1) |
|
|
821 | (1) |
|
|
822 | (1) |
|
Architecture and methodology |
|
|
822 | (1) |
|
|
823 | (1) |
|
|
824 | (7) |
|
|
824 | (3) |
|
Medium access control delay |
|
|
827 | (3) |
|
|
830 | (1) |
|
|
831 | (1) |
|
|
831 | (2) |
33 Deep learning in medical and surgical instruments |
|
833 | (24) |
|
Srivarna Settisara Janney |
|
|
|
Medical and surgical instruments |
|
|
833 | (3) |
|
|
833 | (1) |
|
Concepts and categories of instruments |
|
|
834 | (1) |
|
|
834 | (1) |
|
|
835 | (1) |
|
|
836 | (7) |
|
|
836 | (1) |
|
Difference among artificial intelligence, machine learning, and deep learning |
|
|
837 | (1) |
|
|
838 | (1) |
|
Neural network and its architectures |
|
|
839 | (4) |
|
|
843 | (1) |
|
Deep learning in health care |
|
|
843 | (4) |
|
Diagnosis in medical images and signals |
|
|
844 | (1) |
|
Robotics surgery (autonomous) |
|
|
844 | (1) |
|
Genome and bioinformatics |
|
|
845 | (1) |
|
|
846 | (1) |
|
|
846 | (1) |
|
Key papers in deep learning relevant to medical and surgical instruments |
|
|
847 | (4) |
|
|
851 | (1) |
|
|
852 | (5) |
34 Electroencephalogram-based brain-computer interface systems for controlling rehabilitative devices |
|
857 | (34) |
|
|
|
|
|
|
|
|
857 | (4) |
|
|
861 | (1) |
|
|
862 | (3) |
|
Electroencephalogram signal analysis |
|
|
865 | (8) |
|
Linear methods of electroencephalogram feature extraction |
|
|
868 | (3) |
|
Nonlinear methods of electroencephalogram feature extraction |
|
|
871 | (2) |
|
Brain-computer interface applications |
|
|
873 | (9) |
|
Brain-computer interface-controlled wheelchair |
|
|
874 | (1) |
|
Brain-computer interface-controlled smart home environment |
|
|
875 | (2) |
|
Brain-computer interface-controlled robotic limb movement |
|
|
877 | (5) |
|
|
882 | (1) |
|
|
882 | (9) |
35 A system for automatic cardiac arrhythmia recognition using electrocardiogram signal |
|
891 | (22) |
|
|
|
|
891 | (3) |
|
|
894 | (1) |
|
|
894 | (3) |
|
Convolutional neural network |
|
|
894 | (1) |
|
|
895 | (2) |
|
|
897 | (8) |
|
|
897 | (2) |
|
Electrocardiogram arrhythmia classification using convolutional neural network |
|
|
899 | (1) |
|
Electrocardiogram arrhythmia classification using dual-tree complex wavelet transform and random forest |
|
|
900 | (5) |
|
|
905 | (4) |
|
The performance of arrhythmia classification using convolutional neural network |
|
|
905 | (1) |
|
The performance of arrhythmia classification using dual-tree complex wavelet transform-random forest method |
|
|
906 | (2) |
|
Performance comparison of different methods for arrhythmia classification |
|
|
908 | (1) |
|
|
909 | (1) |
|
|
910 | (1) |
|
|
910 | (3) |
36 Designing of a biopotential amplifier for the acquisition and processing of subvocal electromyography signals |
|
913 | (18) |
|
|
|
|
|
|
|
|
|
913 | (2) |
|
|
915 | (2) |
|
|
917 | (1) |
|
|
917 | (3) |
|
Designing of a subvocal electromyogram biopotential amplifier |
|
|
917 | (1) |
|
Development of the printed circuit board |
|
|
918 | (1) |
|
Acquisition of subvocal electromyogram signals |
|
|
919 | (1) |
|
Processing and feature extraction of subvocal electromyogram signals |
|
|
919 | (1) |
|
Statistical analysis and classification using ANN |
|
|
920 | (1) |
|
|
920 | (4) |
|
Development of a subvocal electromyogram biopotential amplifier |
|
|
920 | (2) |
|
Acquisition and processing of subvocal electromyogram signals |
|
|
922 | (2) |
|
Statistical analysis and classification using ANN |
|
|
924 | (3) |
|
|
927 | (1) |
|
|
927 | (4) |
Index |
|
931 | |