Body Sensor NetworksGuang-Zhong Yang Advances in science and medicine are closely linked; they are characterised by episodic imaginative leaps, often with dramatic effects on mankind and beyond. The advent of body sensor networks represents such a leap. The reason for this stems from the fact that all branches of modern medicine, ranging from prevention to complex intervention, rely heavily on early, accurate, and complete diagnosis followed by close monitoring of the results. To date, attempts at doing this consisted of intermittent contact with the individual concerned, producing a series of snapshots at personal, biochemical, mechanical, cellular, or molecular levels. This was followed by making a series of assumptions which inevitably resulted in a distortion of the real picture. Although the human genome project has shown that we are all “equal”, it confirmed the fact that each one of us has unique features at many levels, some of which include our susceptibility to disease and a particular response to many external stimuli, medicines, or procedures. This has resulted in the concept of personalised medicines or procedures promised to revolutionise our approach to healthcare. To achieve this, we need accurate individualised information obtained at many levels in a continuous fashion. This needs to be accomplished in a sensitive, respectful, non-invasive manner which does not interfere with human dignity or quality of life, and more importantly it must be affordable and cost-effective. |
From inside the book
Results 1-5 of 58
Page xi
... Context Awareness 1.4.6 Integrated Therapeutic Systems 1.5 Personalised Healthcare 1.6 Finding the Ideal Architecture for BSN 1.7 The Future: Going from “Micro” to “Nano” 1.8 The Scope of the Book References 2 Biosensor Design and ...
... Context Awareness 1.4.6 Integrated Therapeutic Systems 1.5 Personalised Healthcare 1.6 Finding the Ideal Architecture for BSN 1.7 The Future: Going from “Micro” to “Nano” 1.8 The Scope of the Book References 2 Biosensor Design and ...
Page xv
... Context-Aware Sensing 287 Surapa Thiemjarus and Guang-Zhong Yang 9.1 Introduction 287 9.2 Application Scenarios 289 9.3 Preprocessing for Context Sensing 291 9.3.1 Information Granularity 9.3.2 Sources of Signal Variations 9.3.3 Data ...
... Context-Aware Sensing 287 Surapa Thiemjarus and Guang-Zhong Yang 9.1 Introduction 287 9.2 Application Scenarios 289 9.3 Preprocessing for Context Sensing 291 9.3.1 Information Granularity 9.3.2 Sources of Signal Variations 9.3.3 Data ...
Page 3
... overview of the development and history of wireless BSNs, highlight- ing not only the challenges lying ahead but also the direction of its future develop- ment. ་ Spo , sensor context sensors ECG sensor local processing 1. Introduction 3.
... overview of the development and history of wireless BSNs, highlight- ing not only the challenges lying ahead but also the direction of its future develop- ment. ་ Spo , sensor context sensors ECG sensor local processing 1. Introduction 3.
Page 4
Guang-Zhong Yang. ་ Spo , sensor context sensors ECG sensor local processing unit clinic hospital work home Figure 1.2 Diagrammatic representation of the BSN architecture with wire- lessly linked context - aware " on body ” ( external ) ...
Guang-Zhong Yang. ་ Spo , sensor context sensors ECG sensor local processing unit clinic hospital work home Figure 1.2 Diagrammatic representation of the BSN architecture with wire- lessly linked context - aware " on body ” ( external ) ...
Page 5
... Context Awareness Wireless Technology Data Transfer WSN As large as the environment being monitored ( metres / kilometres ) Greater number of nodes required for accurate , wide area coverage Multiple sensors , each perform dedicated ...
... Context Awareness Wireless Technology Data Transfer WSN As large as the environment being monitored ( metres / kilometres ) Greater number of nodes required for accurate , wide area coverage Multiple sensors , each perform dedicated ...
Contents
20 | |
References | 34 |
2 | 41 |
22223 | 82 |
Protein Engineering for Biosensors 89 | 88 |
Wireless Communication | 117 |
References | 143 |
References | 180 |
References | 281 |
References | 326 |
Autonomic Sensing | 333 |
References | 366 |
References | 393 |
Appendix A Wireless Sensor Development Platforms | 403 |
Conclusions | 418 |
BSN Development Kit | 441 |
Energy Scavenging | 183 |
References | 216 |
References | 236 |
MultiSensor Fusion | 239 |
TinyOS | 451 |
BSN Programming Guide | 468 |
Conclusions | 478 |
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Common terms and phrases
accelerometer activity algorithm analogue analyte antenna architecture Atmel battery Bayesian Bayesian network belief propagation biological biosensors Bluetooth Body Sensor Networks BSN applications BSN node capacitance capacitor capsule cells channel chemical Chipcon circuit cluster components Computing context context-aware data fusion detection devices distributed dynamic effective electrochemical electrode energy scavenging environment enzyme example feature selection frequency function fusion glucose hardware IEEE IEEE Transactions implantable implementation integrated interface International ISFET ISM band layer measurements membrane messages method miniaturisation module monitoring MOSFET neuron operation output oxide packet parameters patient performance platforms potential power consumption Proceedings protein protocol radio redox result_t routing sensing sensor fusion sensor nodes shown in Figure simulation specific STSOM surface techniques TinyOS tion tissue topology transceiver transmit vector voltage wearable wire wireless communication wireless sensor networks ZigBee
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