Atjaunināt sīkdatņu piekrišanu

E-grāmata: Human-Machine Interface: Making Healthcare Digital

Edited by (Ganpat University, Gujarat, India), Edited by (Galgotias University, Noida, India), Edited by (Galgotias University, Noida, India), Edited by (Chiang Mai University, Chiang Mai, Thailand)
  • Formāts: PDF+DRM
  • Izdošanas datums: 03-Oct-2023
  • Izdevniecība: John Wiley & Sons Inc
  • Valoda: eng
  • ISBN-13: 9781394200337
Citas grāmatas par šo tēmu:
  • Formāts - PDF+DRM
  • Cena: 202,25 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Ielikt grozā
  • Pievienot vēlmju sarakstam
  • Šī e-grāmata paredzēta tikai personīgai lietošanai. E-grāmatas nav iespējams atgriezt un nauda par iegādātajām e-grāmatām netiek atmaksāta.
  • Formāts: PDF+DRM
  • Izdošanas datums: 03-Oct-2023
  • Izdevniecība: John Wiley & Sons Inc
  • Valoda: eng
  • ISBN-13: 9781394200337
Citas grāmatas par šo tēmu:

DRM restrictions

  • Kopēšana (kopēt/ievietot):

    nav atļauts

  • Drukāšana:

    nav atļauts

  • Lietošana:

    Digitālo tiesību pārvaldība (Digital Rights Management (DRM))
    Izdevējs ir piegādājis šo grāmatu šifrētā veidā, kas nozīmē, ka jums ir jāinstalē bezmaksas programmatūra, lai to atbloķētu un lasītu. Lai lasītu šo e-grāmatu, jums ir jāizveido Adobe ID. Vairāk informācijas šeit. E-grāmatu var lasīt un lejupielādēt līdz 6 ierīcēm (vienam lietotājam ar vienu un to pašu Adobe ID).

    Nepieciešamā programmatūra
    Lai lasītu šo e-grāmatu mobilajā ierīcē (tālrunī vai planšetdatorā), jums būs jāinstalē šī bezmaksas lietotne: PocketBook Reader (iOS / Android)

    Lai lejupielādētu un lasītu šo e-grāmatu datorā vai Mac datorā, jums ir nepieciešamid Adobe Digital Editions (šī ir bezmaksas lietotne, kas īpaši izstrādāta e-grāmatām. Tā nav tas pats, kas Adobe Reader, kas, iespējams, jau ir jūsu datorā.)

    Jūs nevarat lasīt šo e-grāmatu, izmantojot Amazon Kindle.

HUMAN-MACHINE INTERFACE

The book contains the latest advances in healthcare and presents them in the frame of the Human-Machine Interface (HMI).

The Human-Machine Interface (HMI) industry has witnessed the evolution from a simple push button to a modern touch-screen display. HMI is a user interface that allows humans to operate controllers for machines, systems, or instruments. Most medical procedures are improved by HMI systems, from calling an ambulance to ensuring that a patient receives adequate treatment on time.

This book describes the scenario of biomedical technologies in the context of the advanced HMI, with a focus on direct brain-computer connection. The book describes several HMI tools and related techniques for analyzing, creating, controlling, and upgrading healthcare delivery systems, and provides details regarding how advancements in technology, particularly HMI, ensure ethical and fair use in patient care.

Audience

The target audience for this book is medical personnel and policymakers in healthcare and pharmaceutical professionals, as well as engineers and researchers in computer science and artificial intelligence.

Foreword xxiii

Preface xxv

Acknowledgement xxvii

Part I: Advanced Patient Care with HMI 1

1 Introduction to Human-Machine Interface 3
Shama Mujawar, Aarohi Deshpande, Aarohi Gherkar, Samson Eugin Simon and Bhupendra Prajapati

1.1 Introduction 4

1.2 Types of HMI 6

1.3 Transformation of HMI 7

1.4 Importance and COVID Relevance With HMI 9

1.5 Applications 11

1.6 Challenges 18

1.7 Conclusion and Future Prospects 19

2 Improving Healthcare Practice by Using HMI Interface 25
Vaibhav Verma, Vivek Dave and Pranay Wal

2.1 Background of Human-Machine Interaction 26

2.2 Introduction 26

2.3 Evolution of HMI Design 27

2.4 Anatomy of Human Brain 28

2.5 Signal Associated With Brain 31

2.6 HMI Signal Processing and Acquisition Methods 32

2.7 Human-Machine Interface--Based Healthcare System 36

2.8 Working Model of HMI 38

2.9 Challenges and Limitations of HMI Design 40

2.10 Role of HMI in Healthcare Practice 40

2.11 Application of HMI Technology in Medical Fields 42

2.12 Conclusion and Future Perspective 51

3 Human-Machine Interface and Patient Safety 59
Arun Kumar Singh and Rishabha Malviya

3.1 Introduction 59

3.2 Detecting Anesthesia-Related Drug Administration Errors and Predicting Their Impact 60

3.3 Systematic Approaches to Improve Patient Safety During Anesthesia 69

3.4 The Triumph of Software 73

3.5 Environments that Audit Themselves 77

3.6 New Risks and Dangers 77

3.7 Conclusion

4 Human-Machine Interface Improving Quality of Patient Care 89
Rishav Sharma and Rishabha Malviya

4.1 Introduction 90

4.2 An Advanced Framework for Human-Machine Interaction 92

4.3 Human--Computer Interaction (HCI) 93

4.4 Multimodal Processing 95

4.5 Integrated Multimodality at a Lower Order (Stimulus Orientation) 96

4.6 Higher-Order Multimodal Integration (Perceptual Binding) 96

4.7 Gains in Performance From Multisensory Stimulation 97

4.8 Amplitude Envelope and Alarm Design 98

4.9 Recent Trends in Alarm Tone Design for Medical Devices 99

4.10 Percussive Tone Integration in Multimodal User Interfaces 99

4.11 Software in Hospitals 100

4.12 Brain--Machine Interface (BCI) Outfit 101

4.13 BCI Sensors and Techniques 101

4.14 New Generation Advanced Human-Machine Interface 104

4.15 Conclusion 105

5 Smart Patient Engagement through Robotics 115
Rakhi Mohan, A. Arun Prakash, Uma Devi N., Anjali Sharma S., Aiswarya Babu N. and Thennarasi P.

5.1 Introduction 116

5.2 Theoretical Framework 126

5.3 Objectives 127

5.4 Research Methodology 127

5.5 Primary and Secondary Data 127

5.6 Factors for Consideration 127

5.7 Robotics Implementation 128

5.8 Tools for Analysis 129

5.9 Analysis of Patient's Perception 129

5.10 Review of Literature 129

5.11 Hospitals Considered for the Study (Through Indirect Sources) 131

5.12 Analysis and Interpretation 133

5.13 Conclusion 153

6 Accelerating Development of Medical Devices Using Human-Machine Interface 161
Dipanjan Karati, Swarupananda Mukherjee, Souvik Roy and Bhupendra G. Prajapati

6.1 Introduction 162

6.2 HMI Machineries 164

6.3 Brain--Computer Interface and HMI 165

6.4 HMI for a Mobile Medical Exoskeleton 166

6.5 Human Artificial Limb and Robotic Surgical Treatment by HMI 167

6.6 Cognitive Enhancement by HMI 170

6.7 Soft Electronics for the Skin Using HMI 171

6.8 Safety Considerations 173

6.9 Conclusion 174

7 The Role of a Human-Machine Interaction (HMI) System on the Medical Devices 183
Zahra Alidousti Shahraki and Mohsen Aghabozorgi Nafchi

7.1 Introduction 184

7.2 Machine Learning for HCI Systems 185

7.3 Patient Experience 187

7.4 Cognitive Science 190

7.5 HCI System Based on Image Processing 192

7.6 Blockchain 201

7.7 Virtual Reality 203

7.8 The Challenges in Designing HCI Systems for Medical Devices 206

7.9 Conclusion 207

8 Human-Machine Interaction in Leveraging the Concept of Telemedicine 211
Dipa K. Israni and Nandita S. Chawla

8.1 Introduction 212

8.2 Innovative Development in HMI Technologies and Its Use in Telemedicine 213

8.3 Advantages of Utilizing HMI in Healthcare for Telemedicine 230

8.4 Obstacles to the Utilize, Accept, and Implement HMI in Telemedicine 234

8.5 Conclusions 239

9 Making Hospital Environment Friendly for People: A Concept of HMI 247
Rihana Begum P., Badrud Duza Mohammad, Saravana Kumar A. and Muhasina K.M.

9.1 Introduction 248

9.2 A Scenario for Ubiquitous Computing and Ambient Intelligence 249

9.3 Emergence of Ambient Intelligence 250

9.4 Framework for Advanced Human-Machine Interfaces 251

9.5 Brain Computer Interface (BCI) 252

9.6 Development in MHI Technologies and Their Applications 257

9.7 Techniques of Signal Acquisition and Processing Applied to HMI 258

9.8 Hospital-Friendly Environment for Patients 260

9.9 Applications of HMI for Patient-Friendly Hospital Environment 263

9.10 Conclusion 270

Part II: Emerging Application and Regulatory Prospects of HMI in Healthcare 279

10 HMI: Disruption in the Neural Healthcare Industry 281
Preetam L. Nikam, Amol U. Gayke, Pavan S. Avhad, Rahul B. Bhabad and Rishabha Malviya

10.1 Introduction 282

10.2 Stimulation of Muscles 283

10.3 Cochlear Implants 283

10.4 Peripheral Nervous System Interaction 284

10.5 Sleeve Electrodes 285

10.6 Flat-Interfaced Nerve Electrodes 287

10.7 Transverse and Longitudinal Intrafascicular Electrode (LIFE and TIME) 287

10.8 Multi-Channel Arrays That Penetrate 288

10.9 Spinal Cord Stimulation and Central Nervous System Interaction 289

10.10 Computer--Brain Interfaces 290

10.11 Conclusion 291

11 Dynamics of EHR in M-Healthcare Application 295
Eva Kaushik and Rohit Kaushik

11.1 Introduction 296

11.2 Background Related Work 299

11.3 Methodology 300

11.4 Tools and Technologies 303

11.5 Limitations 304

11.6 Future Scope 305

11.7 Discussion 306

11.8 Conclusion 308

12 Role of Human-Machine Interface in the Biomedical Device Development to Handle COVID-19 Pandemic Situation in an Efficient Way 311
Soma Datta and Nabendu Chaki

12.1 Introduction: Background and Driving Forces 312

12.2 Methods 315

12.3 Results 325

12.4 Conclusion 325

13 Role of HMI in the Drug Manufacturing Process 329
Biswajit Basu, Kevinkumar Garala and Bhupendra G. Prajapati

13.1 Introduction 330

13.2 Types of HMI 333

13.3 Advantages and Disadvantages of HMI 334

13.4 Roles of HMI in the Pharmaceutical Manufacturing Process 339

13.5 Common Applications for Human-Machine Interfaces 343

13.6 Healthcare System-Based Human--Computer Interaction 345

13.7 Performance Test of Healthcare System Based on HCI 349

13.8 Human-Machine Interface for Healthcare and Rehabilitation 349

13.9 Human-Machine Interface for Research Reactor: Instrumentation and Control System 351

13.10 Future Scope of Human-Machine Interface (HMI) 352

13.11 Conclusion 353

14 Breaking the Silence: Brain--Computer Interface for Communication 357
Preetam L. Nikam, Sheetal Wagh, Sarika Shinde, Abhishek Mokal, Smita Andhale, Prathmesh Wagh, Vivek Bhosale and Rishabha Malviya

14.1 Introduction 358

14.2 Survey of BCI 359

14.3 Techniques of BCI 361

14.4 BCI Components 362

14.5 BCI Signal Acquisition Methods 364

14.6 BCI Invasion 364

14.7 BCI With Limited Invasion 364

14.8 BCI Not Invasive 364

14.9 BCI Applications 365

14.10 BCI Healthcare Challenges 367

14.11 Conclusion 370

15 Regulatory Perspective: Human-Machine Interfaces 375
Artiben Patel, Ravi Patel, Rakesh Patel, Bhupendra Prajapati and Shivani Jani

15.1 Introduction 376

15.2 Why are Regulations Needed? 377

15.3 US Regulatory Perspective 379

15.4 Conclusion 407

16 Towards the Digitization of Healthcare Record Management 411
Shivani Patel, Bhavinkumar Gayakvad, Ravisinh Solanki, Ravi Patel and Dignesh Khunt

16.1 Introduction 412

16.2 Digital Health Records: Concept and Organization 416

16.3 Mechanism and Operation of Digital Health Record 419

16.4 Benefits of Digital Health Records 426

16.5 Limitations of Digital Health Records 428

16.6 Risk & Problems Associated With the System 431

16.7 Future Benefits 432

16.8 Miscellaneous 434

16.9 Conclusion 445

17 Intelligent Healthcare Supply Chain 449
Chirag Kalaria, Shambhavi Singh and Bhupendra G. Prajapati

17.1 Introduction 450

17.2 Supply Chain -- Method Networking? 451

17.3 Healthcare Supply Chain and Steps Involved 451

17.4 Importance of HSC 452

17.5 Risks and Complexities Affecting the Globally Distributed HSC 453

17.6 Technologies Come to Aid to Build an Intelligent HSC 457

17.7 Blockchain 460

17.8 Robotics 461

17.9 Cloud Computing 463

17.10 Big Data Analytics (BDA) 465

17.11 Industry 4.0 465

17.12 Internet of Things (IoT) 467

17.13 Digital Twins 469

17.14 Supply Chain Control Tower 470

17.15 Predictive Maintenance 472

17.16 A Digital Transformation Roadmap 473

17.17 Prerequisite for Designing Intelligent HSC 475

17.18 HMI--Usage in HSC Management 476

17.19 HMI--A Face of the Supply Chain Control Tower 477

17.20 The Intelligent Future of the Healthcare Industry 478

17.21 Conclusion 480

References 481

Index 483