Biomedical and Environmental Sensing
J. I. Agbinya, E. Biermann, Y. Hamam
River Publishers, 2009 - Technology & Engineering - 344 pages
At a time when the applications of sensors are in high demand and environmental issues are international priorities, this book on biomedical and environmental sensing provides the technical basis for researchers and students to understand the requirements for biomedical computing and environmental sensing and to develop solutions in their areas of interests. It deals with key techniques that students and researchers need to understand and provides examples of how to apply the techniques.
Biomedical and environmental sensing are helping to extend the life span of human beings and infrastructures as it has become more and more sensible to understanding what is happening inside a person, an aircraft, a road network, or a bridge and to provide quick response. Several chapters of the book deal with the state-of-the-art biomedical decision support systems in therapeutic medicine. A data driven decision support system and a prototype support system for anaesthetics are major enablers for doctors and nurses to provide an efficient and timely response not only to diagnose ailments but also to decide on the preferred approach for solving the problems.
The analyses in the chapters are coherently detailed and easy to comprehend. Classification of chromosomes is a major aid in DNA analysis and recognition, and the book provides valuable insight into this DNA analysis method. Information on heart diseases, onset of heart attacks, and failure can be detected through reconstructing electrophysiological information about the surface of the heart. This book describes a reconstruction method and provides strong foundation for research and training in this life determining area. The remaining chapters cover sensing of driver conditions including fatigue peeks into tools and methodologies for understanding both the onset of fatigue and its forms for prevention of accidents in vehicles. The rest of the book gives techniques for planning biomedical and environmental sensor networks and their security.
Biomedical and Environmental Sensing will no doubt greatly serve the needs of health professionals, researchers in the health and environmental industry, and policy makers.
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2 A Prototype Decision Support System for Anesthetists
3 Development and Testing of a Low Cost Minimally Invasive Radiofrequency Thermal Probe for Hyperthermia Therapy
4 Comparative Functional Magnetic Resonance Imaging With Functional Brain Imaging Modalities
5 Design of Neural Network Classifier for Separation of Images With Chromosomes
6 DeNoising of Body Surface Potential Signals
Proposed Application in Train Drivers
Conception and Implementation
10 Security and Privacy of Wireless Sensor Networks for Biomedical Applications
11 Key Establishment Schemes for Clustered Distributed Sensor Networks
12 Planning and Addressing of Wireless Sensor Networks
13 Sensor Scheduling and Redeployment Mechanisms in Wireless Sensor Networks
14 On the Combination of Logistic Regression and Local Probability Estimates
15 Stochastic Deterioration Processes in Bridge Lifetime Assessment
9 Statistical Validation of Physiological Indicators for Noninvasive and Hybrid Driver Drowsiness Detection System
ablation active sensors algorithm analysis anesthetist approach attacks base station biomedical applications Blackman-Harris blood BSPM chapter chromosomes classifiers clinical cluster head combination communication composite event computed condition Covariate coverage data points data set de-noising deoxyhaemoglobin deployment detection set deterioration devices diagnoses distance distributed drowsiness DSNs ECG signal electrode Elliptic Curve Cryptography energy estimate fatigue function gamma process hyperthermia therapy IEEE images implementation initial input J2ME key pre-distribution keying material Log-likelihood logistic regression LR model method MISTY1 mobile phone monitoring neighbors neural network neurons number of sensors observations optimal output p-value parameters patient trials physiological problem Proc proposed protocols Q-Learning radiofrequency radiofrequency ablation region regression router routing scheme seat movement sensing components sensor nodes simulation techniques temperature thermal probe threshold tissue vector wavelet wireless sensor networks Zigbee