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Wearable and implantable medical devices : applications and challenges / volume editors: Nilanjan Dey, Amira S. Ashour, Simon James Fong, Chintan Bhatt.

Contributor(s): Material type: TextTextSeries: Advances in ubiquitous sensing applications for healthcare ; v. 7.Publisher: London, United Kingdom : Academic Press, 2020Description: 1 online resource (279 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 0128156376
  • 9780128156377
Subject(s): Genre/Form: Additional physical formats: Print version:: Wearable and Implantable Medical Devices : Applications and ChallengesDDC classification:
  • 610.28/4 23
LOC classification:
  • R856
Online resources:
Contents:
Front Cover; Wearable and Implantable Medical Devices; Copyright Page; Contents; List of contributors; Preface; 1 Internet of Things-triggered and power-efficient smart pedometer algorithm for intelligent wearable devices; 1.1 Introduction; 1.2 Intelligent wearable device description; 1.3 Intelligent wearable device pedometer algorithm and evaluation; 1.4 Application development; 1.4.1 ThingSpeak server; 1.4.2 Virtuino app; 1.5 Software development; 1.6 Results; 1.7 Conclusion; References; Further reading
2 Biosensors and Internet of Things in smart healthcare applications: challenges and opportunities2.1 Introduction; 2.2 Health challenges for the elderly, older workers, and infants; 2.3 Challenges and opportunities for technology-enabled care; 2.3.1 Low-cost technology; 2.3.2 Modular, interoperable, expandable solutions; 2.3.3 Big data and machine learning; 2.3.4 Security and privacy; 2.4 Internet of Things and Internet of Medical Things building blocks for health and well-being applications; 2.4.1 Smart environment enablers; 2.4.1.1 Wearable and assistive medical devices
2.4.1.2 Mobile devices2.4.1.3 Environmental monitoring and Internet of Things platforms; 2.4.1.4 Camera-based monitoring of humans; 2.4.2 Back end enablers for personalized recommendations; 2.4.2.1 Knowledge abstraction for user profiling and temporal reasoning; 2.4.2.2 Context-aware recommendations; 2.4.3 Security and privacy enablers; 2.5 Smart healthcare applications-state-of-the-art research efforts; 2.5.1 SMART BEAR-smart living solution platform for the elderly; 2.5.1.1 Targeted pilot environments; 2.5.1.2 The SMART BEAR consortium
2.5.2 sustAGE-smart environments for person-centered sustainable work and well-being2.5.2.1 The industry domains; 2.5.2.1.1 The case of assembly line workers in the automotive industry; 2.5.2.1.2 The case of port workers in the transportation and logistics industry; 2.5.2.2 Internet of Things ecosystem and system functionalities; 2.5.2.3 The sustAGE consortium; 2.5.3 xVLEPSIS-an intelligent noninvasive biosignal recording system for infants; 2.5.3.1 Integration of smart biosignal sensors in a detection system for hazardous conditions; 2.6 Conclusion; Acknowledgments; References
Further reading3 Wearable electroencephalography technologies for brain-computer interfacing; 3.1 Introduction; 3.2 Current state of brain-computer interface-based communicators; 3.3 Current developments in sensor technology; 3.4 Current developments in wearable and wireless brain-computer interface; 3.5 The future of wearable brain-computer interface; References; Further reading; 4 AdaptableSDA: secure data aggregation framework in wireless body area networks; 4.1 Introduction; 4.2 Background; 4.2.1 Proposed work; 4.3 Main focus of the chapter; 4.3.1 AdaptableSDA: end-to-end integrity
List(s) this item appears in: Medical Instruments and Operating Room เครื่องมือแพทย์และห้องผ่าตัด (update2023)
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Item type Current library Shelving location Call number Status Date due Barcode Item holds
Electronic Book Electronic Book Kuakarun Nursing Library Processing unit Available eb39181
Total holds: 0

Description based on print version of record.

Front Cover; Wearable and Implantable Medical Devices; Copyright Page; Contents; List of contributors; Preface; 1 Internet of Things-triggered and power-efficient smart pedometer algorithm for intelligent wearable devices; 1.1 Introduction; 1.2 Intelligent wearable device description; 1.3 Intelligent wearable device pedometer algorithm and evaluation; 1.4 Application development; 1.4.1 ThingSpeak server; 1.4.2 Virtuino app; 1.5 Software development; 1.6 Results; 1.7 Conclusion; References; Further reading

2 Biosensors and Internet of Things in smart healthcare applications: challenges and opportunities2.1 Introduction; 2.2 Health challenges for the elderly, older workers, and infants; 2.3 Challenges and opportunities for technology-enabled care; 2.3.1 Low-cost technology; 2.3.2 Modular, interoperable, expandable solutions; 2.3.3 Big data and machine learning; 2.3.4 Security and privacy; 2.4 Internet of Things and Internet of Medical Things building blocks for health and well-being applications; 2.4.1 Smart environment enablers; 2.4.1.1 Wearable and assistive medical devices

2.4.1.2 Mobile devices2.4.1.3 Environmental monitoring and Internet of Things platforms; 2.4.1.4 Camera-based monitoring of humans; 2.4.2 Back end enablers for personalized recommendations; 2.4.2.1 Knowledge abstraction for user profiling and temporal reasoning; 2.4.2.2 Context-aware recommendations; 2.4.3 Security and privacy enablers; 2.5 Smart healthcare applications-state-of-the-art research efforts; 2.5.1 SMART BEAR-smart living solution platform for the elderly; 2.5.1.1 Targeted pilot environments; 2.5.1.2 The SMART BEAR consortium

2.5.2 sustAGE-smart environments for person-centered sustainable work and well-being2.5.2.1 The industry domains; 2.5.2.1.1 The case of assembly line workers in the automotive industry; 2.5.2.1.2 The case of port workers in the transportation and logistics industry; 2.5.2.2 Internet of Things ecosystem and system functionalities; 2.5.2.3 The sustAGE consortium; 2.5.3 xVLEPSIS-an intelligent noninvasive biosignal recording system for infants; 2.5.3.1 Integration of smart biosignal sensors in a detection system for hazardous conditions; 2.6 Conclusion; Acknowledgments; References

Further reading3 Wearable electroencephalography technologies for brain-computer interfacing; 3.1 Introduction; 3.2 Current state of brain-computer interface-based communicators; 3.3 Current developments in sensor technology; 3.4 Current developments in wearable and wireless brain-computer interface; 3.5 The future of wearable brain-computer interface; References; Further reading; 4 AdaptableSDA: secure data aggregation framework in wireless body area networks; 4.1 Introduction; 4.2 Background; 4.2.1 Proposed work; 4.3 Main focus of the chapter; 4.3.1 AdaptableSDA: end-to-end integrity

4.3.2 AdaptableSDA: hop-by-hop integrity

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