Bernard Fong, A. C. M. Fong, C. K. Li

Telemedicine Technologies (eBook, PDF)

Information Technologies in Medicine and Digital Health

• Format: PDF

Produktbeschreibung

Since the launch of Telemedicine Technologies (Wiley, 2010), the technologies surrounding telemedicine have changed immeasurably, particularly with the emerging trends of Internet-of-Things (IoT), digital/e-Health, and wearable, smart and assistive technologies. This second edition overhauls and expands on the original text to reflect the technical advances of the last decade. It covers applications from traditional healthcare services to remote patient monitoring and recovery, to alternative medicine and general health assessment for maintaining optimal health. This welcome update brings together a broad range of topics demonstrating how information and wireless technologies can be used in healthcare.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 320
• Erscheinungstermin: 12. Mai 2020
• Englisch
• ISBN-13: 9781119575757
• Artikelnr.: 59848615

Autorenporträt

Bernard Fong is currently with Providence University, Taiwan. He received his Bachelor of Science degree from the University of Manchester Institute of Science and Technology and Doctor of Philosophy degree from the University of New South Wales in 1993 and 2005, respectively. A. C. M. Fong is currently with Western Michigan University, USA. He graduated from Imperial College London and the University of Oxford, UK. C. K. Li is currently with Alpha Positive Clinic, Hong Kong. He received his MSc degree from the University of London and PhD degree from the University of Westminster, UK.

Inhaltsangabe

Foreword xi

Preface xiii

Acknowledgments xv

About the Book xvii

Book Overview xix

1 Introduction 1

1.1 Information Technology and Healthcare Professionals 1

1.2 Providing Healthcare to Patients 2

1.2.1 Technical Perspectives 4

1.2.2 Healthcare Providers 5

1.2.3 End Users 5

1.2.4 Authorities 6

1.3 Healthcare Informatics Developments 6

1.4 Different Definitions of Telemedicine 8

1.5 The Growth of E-health to M-health 11

1.5.1 Evolving from the Internet 11

1.5.2 Digital Health on the Move 12

1.5.3 Data is Sent as a Sequence of "Packets" 13

1.6 The Connected World Between Human and Devices 14

References 14

2 Communication Networks and Services 17

2.1 The Basics of Wireless Communications 17

2.1.1 Wired vs. Wireless 19

2.1.2 Conducting vs. Optical Cables 20

2.1.3 Data Transmission Speed 22

2.1.4 Electromagnetic Interference 23

2.1.5 Modulation 23

2.2 Types of Wireless Networks 24

2.2.1 Bluetooth 24

2.2.2 Infrared (IR) 25

2.2.3 Wireless Local Area Network (WLAN) and Wi-Fi 25

2.2.4 ZigBee 26

2.2.5 Li-Fi 26

2.2.6 Cellular Networks 26

2.2.7 Broadband Wireless Access (BWA) 28

2.2.8 Satellite Networks 29

2.2.9 Licensed and Unlicensed Frequency Bands 29

2.3 M-health and Telemedicine Applications 29

2.4 The Outdoor Operating Environment 30

2.5 RFID in Telemedicine 35

References 38

3 Information and Communications Technology in Health Monitoring 41

3.1 Body Area Networks 42

3.2 Emergency Rescue 44

3.2.1 At the Scene 45

3.2.2 Smart Ambulance 47

3.2.3 Network Backbone 49

3.2.4 At the Hospital 50

3.2.5 The Authority 50

3.3 Remote Recovery 51

3.3.1 At Sea 51

3.3.2 Forests and Mountains 52

3.3.3 Buildings on Fire 53

3.4 Smart Hospital 55

3.4.1 Radiology Detects Cancer and Abnormality 56

3.4.2 Robot Assisted Telesurgery 58

3.4.3 Ward Management Using RFID 59

3.4.4 Electromagnetic Interference on Medical Instrument 61

3.4.5 Smart Wearable Integration 61

3.5 General Health Assessments 61

3.5.1 Case Study I: Fitness Monitoring for a Morning Jog 62

3.5.2 Case Study II: Gym Workout 63

3.5.3 Case Study III: Swimming 64

3.6 Multisensory Stimulation for Aging Care 66

References 68

4 Data Analytics and Medical Information Processing 71

4.1 Noninvasive Health Data Collection 72

4.1.1 Body Temperature 73

4.1.2 Heart Rate 75

4.1.3 Blood Pressure 78

4.1.4 Respiration Rate 80

4.1.5 Blood Oxygen Saturation 81

4.1.6 Blood Glucose Concentration 83

4.2 Biosignal Transmission and Processing 83

4.2.1 Medical Imaging 84

4.2.1.1 Magnetic Resonance Imaging 85

4.2.1.2 X-ray 85

4.2.1.3 Ultrasound 89

4.2.2 Medical Image Transmission and Analysis 90

4.2.3 Image Compression 93

4.2.4 Biopotential Electrode Sensing 94

4.3 Patient Records and Data Mining Applications 98

4.4 Knowledge Management for Clinical Applications 101

4.5 Artificial Intelligence (AI) in Digital Health 104

4.5.1 Deep Learning 106

4.5.2 AI in Mobile Health 107

4.5.3 Virtual Reality (VR) and Augmented Reality (