Telemedicine technologies information technologies in medicine and digital health / Bernard Fong, A.C.M. Fong, C.K. Li.
"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 a...
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Main Authors: | , , |
Format: | eBook |
Language: | English |
Published: |
Hoboken :
Wiley,
2020.
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Edition: | Second edition. |
Subjects: | |
Local Note: | ProQuest Ebook Central |
Table of Contents:
- Cover
- Title Page
- Copyright
- Contents
- Foreword
- Preface
- Acknowledgments
- About the Book
- Book Overview
- Chapter 1 Introduction
- 1.1 Information Technology and Healthcare Professionals
- 1.2 Providing Healthcare to Patients
- 1.2.1 Technical Perspectives
- 1.2.2 Healthcare Providers
- 1.2.3 End Users
- 1.2.4 Authorities
- 1.3 Healthcare Informatics Developments
- 1.4 Different Definitions of Telemedicine
- 1.5 The Growth of E-health to M-health
- 1.5.1 Evolving from the Internet
- 1.5.2 Digital Health on the Move
- 1.5.3 Data is Sent as a Sequence of "Packets"
- 1.6 The Connected World Between Human and Devices
- References
- Chapter 2 Communication Networks and Services
- 2.1 The Basics of Wireless Communications
- 2.1.1 Wired vs. Wireless
- 2.1.2 Conducting vs. Optical Cables
- 2.1.3 Data Transmission Speed
- 2.1.4 Electromagnetic Interference
- 2.1.5 Modulation
- 2.2 Types of Wireless Networks
- 2.2.1 Bluetooth
- 2.2.2 Infrared (IR)
- 2.2.3 Wireless Local Area Network (WLAN) and Wi-Fi
- 2.2.4 ZigBee
- 2.2.5 Li-Fi
- 2.2.6 Cellular Networks
- 2.2.7 Broadband Wireless Access (BWA)
- 2.2.8 Satellite Networks
- 2.2.9 Licensed and Unlicensed Frequency Bands
- 2.3 M-health and Telemedicine Applications
- 2.4 The Outdoor Operating Environment
- 2.5 RFID in Telemedicine
- References
- Chapter 3 Information and Communications Technology in Health Monitoring
- 3.1 Body Area Networks
- 3.2 Emergency Rescue
- 3.2.1 At the Scene
- 3.2.2 Smart Ambulance
- 3.2.3 Network Backbone
- 3.2.4 At the Hospital
- 3.2.5 The Authority
- 3.3 Remote Recovery
- 3.3.1 At Sea
- 3.3.2 Forests and Mountains
- 3.3.3 Buildings on Fire
- 3.4 Smart Hospital
- 3.4.1 Radiology Detects Cancer and Abnormality
- 3.4.2 Robot Assisted Telesurgery
- 3.4.3 Ward Management Using RFID
- 3.4.4 Electromagnetic Interference on Medical Instrument
- 3.4.5 Smart Wearable Integration
- 3.5 General Health Assessments
- 3.5.1 Case Study I: Fitness Monitoring for a Morning Jog
- 3.5.2 Case Study II: Gym Workout
- 3.5.3 Case Study III: Swimming
- 3.6 Multisensory Stimulation for Aging Care
- References
- Chapter 4 Data Analytics and Medical Information Processing
- 4.1 Noninvasive Health Data Collection
- 4.1.1 Body Temperature
- 4.1.2 Heart Rate
- 4.1.3 Blood Pressure
- 4.1.4 Respiration Rate
- 4.1.5 Blood Oxygen Saturation
- 4.1.6 Blood Glucose Concentration
- 4.2 Biosignal Transmission and Processing
- 4.2.1 Medical Imaging
- 4.2.1.1 Magnetic Resonance Imaging
- 4.2.1.2 X-ray
- 4.2.1.3 Ultrasound
- 4.2.2 Medical Image Transmission and Analysis
- 4.2.3 Image Compression
- 4.2.4 Biopotential Electrode Sensing
- 4.3 Patient Records and Data Mining Applications
- 4.4 Knowledge Management for Clinical Applications
- 4.5 Artificial Intelligence (AI) in Digital Health
- 4.5.1 Deep Learning
- 4.5.2 AI in Mobile Health
- 4.5.3 Virtual Reality (VR) and Augmented Reality (AR)