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E-raamat: Wireless Body Area Networks: Technology, Implementation, and Applications [Taylor & Francis e-raamat]

Edited by (Monash University, Victoria, Australia), Edited by (University of Newcastle, Callaghan, Australia)
  • Formaat: 582 pages, 84 Illustrations, color; 126 Illustrations, black and white
  • Ilmumisaeg: 06-Dec-2011
  • Kirjastus: Pan Stanford Publishing Pte Ltd
  • ISBN-13: 9780429184932
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Wireless Body Area Networks: Technology, Implementation, and ApplicationsSuurem pilt
  • Formaat: 582 pages, 84 Illustrations, color; 126 Illustrations, black and white
  • Ilmumisaeg: 06-Dec-2011
  • Kirjastus: Pan Stanford Publishing Pte Ltd
  • ISBN-13: 9780429184932
Teised raamatud teemal:
Taylor & Francis e-raamatudRohkem infot Taylor & Francis e-raamatute kohta
Raamatu kodulehekülg: https://www.taylorfrancis.com/books/9780429184932

The book provides a comprehensive overview for the latest WBAN systems, technologies, and applications. The chapters of the book have been written by various specialists who are experts in their areas of research and practice. The book starts with the basic techniques involved in designing and building WBAN systems. It explains the deployment issues and then moves into the application areas of WBAN. The remaining chapters focus on the development of hardware, signal processing algorithms, and wireless communication and network design for wearable and implantable body sensors used in WBAN applications. The book also deals with the antenna design, propagation in and around the body, channel modeling, coexistence and power management issues, which are other critical design components for WBAN systems to achieve a successful hospital deployment.

Preface xvii
1 Introduction to Wireless Body Area Network
1(18)
Mehmet Rasit Yuce
Jamil Y. Khan
1.1 Introduction
1(3)
1.2 Applications
4(2)
1.3 Wireless Personal Area Network (WPAN)/Wireless Local Area Network (WLAN)
6(2)
1.4 Wireless Body Area Network
8(4)
1.5 Design Requirements
12(3)
1.6 Scope of the Book
15(4)
2 Wireless Patient Monitoring in a Clinical Setting
19(22)
Esteban J. Pino
Dorothy Curtis
Tom O. Stair
John V. Guttag
Lucila Ohno-Machado
2.1 Introduction
20(3)
2.2 Smart System
23(9)
2.2.1 Architecture
23(1)
2.2.1.1 Hardware
23(3)
2.2.1.2 Software
26(2)
2.2.2 Clinical Implementation
28(4)
2.3 Results
32(4)
2.3.1 Medical Usefulness
32(2)
2.3.2 User Acceptance
34(2)
2.4 Conclusion
36(5)
3 Real-Time Cardiac Arrhythmias Monitoring for Pervasive Health Care
41(34)
Zhou Haiying
Hou Kun-Mean
Vaulx de Christophe
Li Jian
3.1 Introduction
42(2)
3.2 History of PHC Research
44(3)
3.3 Overview of PCC System
47(5)
3.3.1 PCC System Architecture
47(1)
3.3.1.1 Wireless ECG sensor
48(1)
3.3.1.2 Local access server
49(1)
3.3.1.3 Remote access server
50(1)
3.3.1.4 Remote surveillance server
50(1)
3.3.2 PCC Operation Modes
51(1)
3.4 Key Technologies of PCC System
52(14)
3.4.1 Lossless ECG Signal Compression
53(1)
3.4.2 Adaptive Communication Mechanism
54(1)
3.4.2.1 PCC data frame
54(2)
3.4.2.2 PCC communication mechanisms
56(2)
3.4.3 AED Algorithm
58(1)
3.4.3.1 Signal preprocessing and conditioning
59(3)
3.4.3.2 QRS complex detection
62(3)
3.4.3.3 AED performance analysis
65(1)
3.5 Conclusion
66(9)
4 Human Bio-Kinematic Monitoring with Body Area Networks
75(32)
Roozbeh Jafari
Hassan Ghasemzadeh
Eric Guenterberg
Vitali Loseu
Sarah Ostadabas
4.1 Physical Movement Monitoring
76(1)
4.2 Applications
77(6)
4.2.1 Medical Applications
77(1)
4.2.1.1 Gait analysis
78(1)
4.2.1.2 Parkinson's disease assessment systems
79(1)
4.2.2 Sports Training Application
80(1)
4.2.2.1 Golf swing training
81(1)
4.2.2.2 Baseball swing training
82(1)
4.3 Hardware and Software Architecture
83(2)
4.4 Signal Processing for Body Area Networks
85(2)
4.5 An Automatic Parameter Extraction Method Based on HMM
87(8)
4.5.1 HMEM Training and Use
88(1)
4.5.2 Overview
89(1)
4.5.2.1 Preprocessing and feature extraction
90(1)
4.5.2.2 HMM training
90(1)
4.5.2.3 Parametrization and feature selection
90(1)
4.5.3 HMM Training and the Viterbi Algorithm
91(1)
4.5.4 Feature Selection and Model Parametrization Using Genetic Algorithms
92(1)
4.5.5 HMEM Application Procedure
93(1)
4.5.6 Experimental Analysis
93(1)
4.5.6.1 Examination of per-subject error
94(1)
4.6 System Optimizations
95(12)
4.6.1 Burst Communication
96(1)
4.6.1.1 Task graph
96(2)
4.6.1.2 Problem formulation
98(2)
4.6.1.3 Experimental results
100(7)
5 Signal Processing In-Node Frameworks for Wireless Body Area Networks: From Low-Level to High-Level Approaches
107(30)
Francesco Aiello
Giancarlo Fortino
Stefano Galzarano
Raffaele Gravina
Antonio Guerrieri
5.1 Introduction
108(2)
5.2 A WBAN Reference Architecture
110(1)
5.3 Software Frameworks for Programming WBANs
111(5)
5.4 Agent-Oriented Platforms for Wireless Sensor Networks
116(3)
5.5 An Agent-Oriented Design of Signal Processing In-Node Environments
119(4)
5.6 An Analysis of Agent-Oriented Implementations of In-Node Signal Processors
123(9)
5.6.1 MAPS-Based and AFME-Based Implementation of Sensor Agents
125(3)
5.6.2 Agent Implementation Comparison
128(4)
5.7 Conclusions and Future Work
132(5)
6 Hardware Development and Systems for Wireless Body Area Networks
137(48)
Mehmet Rasit Yuce
6.1 Introduction
137(1)
6.2 Wireless Body Sensors
138(24)
6.2.1 Sensor Nodes and Hardware Designs
139(7)
6.2.2 Wireless Systems and Platforms
146(3)
6.2.2.1 Wireless transceivers and microcontrollers
149(3)
6.2.2.2 Existing sensor boards
152(5)
6.2.3 Design of Implanted Sensors Nodes for WBAN
157(5)
6.3 WBAN Systems
162(8)
6.4 A WBAN-Based Multi-Patient Monitoring System
170(9)
6.4.1 Software Programs and Monitoring
175(4)
6.5 Conclusion
179(6)
Appendix
180(5)
7 Wireless Body Area Network Implementations for Ambulatory Health Monitoring
185(44)
Reza Naima
John Canny
7.1 Design Process
185(2)
7.2 Existing WBAN Implementations
187(4)
7.2.1 Hardware Paradigms
188(1)
7.2.2 Firmware
189(1)
7.2.3 The Data
190(1)
7.3 Signal Acquisition
191(20)
7.3.1 Frequency Bandwidth of Interest
192(1)
7.3.2 Measuring Surface Biopotentials
193(1)
7.3.2.1 The electrode
193(2)
7.3.2.2 Filtering
195(1)
7.3.2.3 Amplifier
195(2)
7.3.2.4 Analog Digital Converter and Microcontroller
197(1)
7.3.3 Electrocardiograph
197(4)
7.3.3.1 Berkeley Tricorder
201(1)
7.3.4 Electromyogram
201(2)
7.3.4.1 The Berkeley Tricorder
203(1)
7.3.5 Pulse Oximetry (SpO2)
203(4)
7.3.5.1 The Berkeley Tricorder
207(2)
7.3.6 Respiration
209(1)
7.3.6.1 The Berkeley Tricorder
209(1)
7.3.7 Accelerometry
210(1)
7.3.7.1 The Berkeley Tricorder
210(1)
7.4 Wireless Interface
211(7)
7.4.1 The Berkeley Tricorder
211(1)
7.4.2 Power Consumption
212(1)
7.4.3 Data Range and Transmit Power
213(3)
7.4.4 Data Rate
216(1)
7.4.5 Human Safety
216(1)
7.4.6 Security
217(1)
7.5 Batteries
218(4)
7.6 Final Thoughts and the Berkeley Tricorder
222(7)
8 Ambulatory Recording of Biopotential Signals: Constraints and Challenges for Analog Design
229(30)
Refet Firat Yazicioglu
Sunyoung Kim
Tom Torfs
Julien Penders
Buxi Singh Dilpreet
Inaki Romero
Chris Van Hoof
8.1 Introduction: The Need for Portable Medical Electronics Systems
230(3)
8.2 Basics of Biopotential Signal Acquisition
233(2)
8.3 Constrains and Challanges
235(4)
8.4 Design of Instrumentation Amplifiers for Biopotential Recordings
239(11)
8.4.1 Uncompensated Instrumentation Amplifiers
239(3)
8.4.2 Compensated Instrumentation Amplifiers
242(5)
8.4.3 Summary and Comparison of Instrumentation Amplifier Topologies
247(3)
8.5 Signal Integrity Problems in Ambulatory Measurements
250(5)
8.5.1 Methods Focusing on Motion Artifact Reduction in Biopotential Recordings
250(1)
8.5.2 Readout Circuits for Adaptive Filtering
251(4)
8.6 Conclusion
255(4)
9 Network and Medium Access Control Protocol Design for Wireless Body Area Networks
259(36)
Jamil Y. Khan
9.1 Introduction
260(2)
9.2 Network Topologies and Configurations
262(2)
9.3 Basics of Medium Access Control Protocols
264(4)
9.3.1 WBAN Traffic Characteristics
267(1)
9.4 Scheduled Protocols
268(4)
9.4.1 TDMA Protocol
269(1)
9.4.2 Polling Protocol
270(2)
9.5 Random Access Protocols
272(3)
9.6 Hybrid MAC Protocol
275(1)
9.7 Energy Management in a WBAN
276(7)
9.8 Patient Monitoring Network Design
283(5)
9.8.1 Transmission Capacity Requirements
284(1)
9.8.2 PHY and MAC Layer Parameter Selection
285(1)
9.8.3 Network Configuration
286(2)
9.9 Performance Analysis of a WBAN
288(3)
9.10 Conclusions
291(4)
10 Power Management in Body Area Networks for Health Care Applications
295(28)
Vijay Sivaraman
Ashay Dhamdhere
Alison Burdett
10.1 Introduction
296(3)
10.2 Related Work
299(2)
10.3 The Case for Transmit Power Control in Body Area Networks
301(4)
10.3.1 Normal Walk
303(1)
10.3.2 Slow Walk
304(1)
10.3.3 Resting
305(1)
10.4 Optimal Off-Line Transmit Power Control
305(2)
10.5 Practical On-Line Transmit Power Control
307(7)
10.5.1 A Simple and Flexible Class of Schemes
308(2)
10.5.2 Example Adaptations of the General Scheme
310(2)
10.5.3 Tuning the Parameters
312(2)
10.6 Prototyping and Experimentation
314(4)
10.6.1 MicaZ Mote Platform
314(2)
10.6.2 Toumaz Sensium™ Platform
316(2)
10.7 Conclusions and Future Work
318(5)
11 Channel Modeling of Narrowband Body-Centric Wireless Communication Systems
323(26)
Simon L. Cotton
William G. Scanlon
11.1 Introduction to Body-Centric Communications
324(2)
11.2 Channel Modeling for Wireless Body Area Networks
326(9)
11.2.1 Statistical Distribution of the Fading Signal in WBANs
329(1)
11.2.1.1 Rayleigh and Rice distributions
330(1)
11.2.1.2 Nakagami distribution
331(2)
11.2.1.3 Weibull distribution
333(1)
11.2.1.4 Lognormal distribution
333(1)
11.2.2 Higher Order Statistics
334(1)
11.2.2.1 Level crossing rate and average fade duration
334(1)
11.3 Parameter Estimation and Model Selection
335(9)
11.3.1 Maximum Likelihood Estimation
335(2)
11.3.2 Akaike Information Criterion
337(1)
11.3.3 Worked Example
338(1)
11.3.3.1 Model selection
338(4)
11.3.3.2 Level crossing rate
342(1)
11.3.3.3 Simulation of the received signal envelope
343(1)
11.4 Conclusions
344(5)
12 Antenna Design and Propagation for WBAN Applications
349(26)
Tharaka Dissanayake
12.1 Introduction
350(3)
12.1.1 Antenna Gain
350(1)
12.1.2 Return Loss
351(1)
12.1.3 Efficiency
351(1)
12.1.4 Reciprocity
352(1)
12.2 Miniaturized Antennas
353(4)
12.2.1 Planar Inverted-F Antennas
353(2)
12.2.2 Planar Monopoles and Dipoles
355(2)
12.2.3 Planar Slot Antennas
357(1)
12.3 Implanted Antennas
357(6)
12.3.1 Dielectric Loaded Matching of Implanted Antennas
359(2)
12.3.1.1 Biocompatibility of dielectric loaded antenna
361(2)
12.4 Volume Conduction Antennas
363(1)
12.5 Summary
364(11)
Appendix A
365(1)
A.1 Function calculating the reflection coefficient
365(1)
A.2 X1 11 and X514
366(1)
A.3 Function calculating K vectors
366(1)
Appendix B Calculating Frequency-Dependent Tissue Properties
367(1)
A.4 Cole-Cole function
367(1)
A.5 Calculating the properties
368(2)
A.6 Function for optimization
370(5)
13 Coexistence Issues with Wireless Body Area Networks
375(36)
Axel Sikora
13.1 Introduction
375(1)
13.2 Analysis of Interferers
376(5)
13.2.1 Classification
376(1)
13.2.2 Regulation Issues
377(1)
13.2.3 Intrinsic Interference
378(1)
13.2.4 Extrinsic Interference of RF-Stations within the Same Frequency Band
379(1)
13.2.5 Extrinsic Interference of Other Systems within the Same Frequency Band
380(1)
13.3 Effect on Transmission
381(6)
13.3.1 Fundamentals
381(1)
13.3.2 Simulation of a Dense Sensor Network (Intrinsic Interference)
382(2)
13.3.3 Measurement of Real Packet Losses due to Extrinsic Interference
384(1)
13.3.4 Effects of Coexistence Problems
385(2)
13.4 Countermeasures --- An Overview
387(1)
13.4.1 Safety Aspects
387(1)
13.4.2 Classification
387(1)
13.5 Countermeasures on Physical Layer
388(8)
13.5.1 Channel Classification and Selection
388(3)
13.5.2 Frequency Hopping
391(3)
13.5.3 Frequency Spreading and Code Division Multiple Access
394(1)
13.5.4 The Promise of Ultra-Wide-Band
395(1)
13.6 Countermeasures on Data Link Layer
396(9)
13.6.1 Basic Medium Access Control
396(1)
13.6.2 Centralized Approach
397(1)
13.6.3 Duty Cycle Management
398(1)
13.6.4 Channel Sensing Methods
398(1)
13.6.5 Persistency and Collision Avoidance
399(5)
13.6.6 Medium Reservation Methods
404(1)
13.7 Conclusions
405(6)
14 Implanted Wireless Communication Making a Real Difference
411(28)
Henry Higgins
14.1 Introduction
411(1)
14.2 Why In-body Communication?
412(1)
14.3 Applications
412(1)
14.4 MICS and ISM Bands
412(1)
14.5 RFID Techniques
413(1)
14.6 Propagation Through the Body, Changes in Body Shape and Posture
414(1)
14.7 Antennas
415(14)
14.7.1 Use of Smith Chart in Coupling Network Design
417(2)
14.7.2 Design of Antenna Coupling Networks
419(1)
14.7.2.1 Design example 1
420(1)
14.7.2.2 Design example 2 (SAW filter)
420(6)
14.7.2.3 Use of simulation for antennas and design of coupling networks
426(1)
14.7.3 Physical Body Simulator
427(1)
14.7.4 Body Simulator Measurements and Sample Results
427(1)
14.7.5 The Role of Automatic Antenna Tuning
428(1)
14.8 Implant Power Constraints and Battery Considerations
429(1)
14.9 Error Correction
429(1)
14.10 RF Circuit Hardware Options
430(1)
14.11 Base Station
431(3)
14.11.1 Link Budget
432(2)
14.12 Environment
434(1)
14.13 Manufacture
434(1)
14.14 Conclusions
435(4)
15 Wireless Power and Data Telemetry for Wearable and Implantable Electronics
439(28)
Zhi Yang
Yu Han
Linh Hoang
Yi Kai Lo
Kuanfu Chen
Jian Lao
Mingcui Zhou
Wentai Liu
15.1 Introduction
439(2)
15.2 Power Telemetry
441(9)
15.2.1 Mega-Hz and Sub-Mega-Hz Power
443(4)
15.2.2 Inductor Q Boosting
447(2)
15.2.3 Rectifiers and Regulators
449(1)
15.3 Data Telemetry
450(5)
15.4 Design Example
455(12)
Appendix
457(1)
A.1 Equivalent AC Resistance
457(2)
A.2 Coil Model
459(8)
16 Ultra Wideband for Wireless Body Area Networks
467(44)
Mehmet Rasit Yuce
Ho Chee Keong
16.1 Introduction
468(2)
16.1.1 Background of UWB
468(2)
16.2 Advantages and Limitations of UWB for WBAN
470(3)
16.2.1 Favorable Factors for Use of UWB in WBAN Applications
471(1)
16.2.2 Limitations of UWB
472(1)
16.3 UWB Hardware Development
473(8)
16.3.1 UWB Antennas for WBAN Applications
473(1)
16.3.2 UWB Transmitters for WBAN Applications
474(3)
16.3.2.1 Effects of pulse width on UWB spectrum
477(3)
16.3.3 UWB Receiver
480(1)
16.4 PHY Layer for UWB WBAN
481(1)
16.5 UWB WBAN Channel
482(1)
16.6 MAC scheme for UWB WBAN
483(5)
16.7 UWB WBAN Applications
488(12)
16.7.1 Eight-Channel ECG (On-Body)
488(2)
16.7.1.1 UWB pulse generators
490(2)
16.7.1.2 UWB receiver front-end
492(1)
16.7.1.3 Data recovery
492(2)
16.7.2 Implantable UWB WBAN
494(1)
16.7.2.1 Multichannel neural recording systems
495(1)
16.7.2.2 Electronic pills (wireless endoscope)
496(4)
16.8 Design and Implementation of an UWB-WBAN System
500(7)
16.8.1 UWB Receiver Circuitry
502(1)
16.8.2 Experimental Setup and Measurement Result
503(3)
16.8.3 Summary
506(1)
16.9 Conclusion
507(4)
Index 511
Mehmet R. Yuce received the M.S. degree in electrical and computer engineering from the University of Florida, Gainesville, Florida, in 2001 and Ph.D. degree in electrical and computer engineering from North Carolina State University (NCSU), Raleigh, NC, in December 2004. Currently he is an academic member in the School of Electrical Engineering and Computer Science, University of Newcastle, New South Wales, Australia. He has served as a research assistant between August 2001 and October 2004 with the Department of Electrical and Computer Engineering at NCSU, Raleigh, NC. He was a postdoctoral researcher in the Electrical Engineering Department at the University of California at Santa Cruz in 2005. His research interests include wireless implantable telemetry, wireless body area network, biosensors, integrated circuit technology dealing with digital, analog and radio frequency circuit designs for wireless, biomedical, and RF applications. Dr. Yuce has published more than 70 technical articles in these areas and received a NASA group achievement award in 2007 for developing an SOI transceiver.

Jamil Khan received Ph.D. in electronic and electrical engineering specializing in communications engineering from the University of Strathclyde, Glasgow, UK. Currently, he works as an academic in the University of Newcastle, Australia. His main research interest is in the areas of wireless communication networks, cooperative networks, smart grid communications, wireless sensor networks, and wireless body area network. He has been actively involved in research in these areas for the last 20 years and has published more than 100 articles. He is a senior member of the IEEE (Institute of Electrical and Electronic Engineers) Communications society and a member of the ACM (Association of Computer Machinery). He has been involved in many in technical program committees of IEEE international conferences and reviewer of many top ranking international journals.
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