Body Sensor Networks
Springer Science & Business Media, Dec 5, 2007 - Computers - 494 pages
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.
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Figure 31 Molecular recognition lies at the heart of biosensor
Figure 622 Subcircuit SPICE model of power MOSFET
Najafi et al 43
Figure A1 Examples of WSN hardware platforms developed in recent
Figure 72 The relative cost of computation using analogue or
Table 85 Changes of AUC during BFFS backward feature elimination
Figure B1 BSN node See colour insert
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Figure B26 Schematic diagram of the battery board
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accelerometer activity algorithm analogue analyte antenna architecture battery Bayesian network belief propagation bio-inspired biological biosensors Bluetooth Body Sensor Networks BSN applications BSN node capacitance capacitor capsule cells channel chemical Chemistry Chipcon circuit cluster components Computing context context-aware data fusion detection devices distribution dynamic effective electrical electrochemical electrode energy scavenging environment enzyme example feature selection flash memory frequency function glucose hardware healthcare IEEE Transactions implantable implementation integrated interface International ISFET ISM band layer measurements membrane method miniaturisation module monitoring MOSFET neuron operation output oxide parameters patient performance pervasive platforms potential power consumption Proceedings protein Protein Engineering protocol radio redox result_t routing sensing sensor nodes shown in Figure simulation specific standard STSOM surface techniques TinyOS tion tissue topology transceiver transmit vector voltage wearable wire wireless communication wireless sensor networks ZigBee
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