Biomedical and Environmental Sensing

Biomedical and Environmental Sensing

River Publishers Series in Computing and Information Science and Technology

Biomedical and Environmental Sensing

Authors:
J.I. Agbinya, University of Technology, Sydney, Australia/French South African Technical Institute in Electronics, Pretoria, South Africa
E. Biermann, Assistant Director, French South African Technical Institute in Electronics/ Tshwane University of Technology, Pretoria, South Africa
Y. Hamam, Scientific Director, French South African Technical Institute in Electronics Pretoria, South Africa / ESIEE Paris, France
F. Rocaries, Director, French South African Technical Institute in Electronics Pretoria / ESIEE Paris, France
S. K. Lal, University of Technology, Sydney, Australia

ISBN: 9788792329288

Available: November 2009


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 also environmental sensing and to develop solutions in their areas of interests. The book deals with key techniques that need to be understood and also examples of applications of 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 understand what is happening for example inside a person, an aircraft, a road network or a bridge and to provide quick response. Several chapters of the book have dealt with the state of the art in 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 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. There is a chapter on hypothermia therapy and a hardware probe was also developed and described. Classification of chromosomes is a major aid in DNA analysis and recognition. Thisvaluable insight into a DNA analysis method is provided. Information on heart diseases, onset of heart attacks and failure can be detected through reconstructing electrophysiological information about the surface of the heart. A reconstruction method is described in this book and provides strong foundation for research and training in this life determining area. The remaining chapters on 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.

The book will no doubt greatly serve the needs of health professionals, researchers in the health andenvironmental industry and policy makers.

Content
  • Data Driven Therapy Decision Support System
  • A Prototype Decision Support System for Anesthetists
  • Development and Testing of a Low Cost, Minimally Invasive Radiofrequency Thermal Probe For Hyperthermia Therapy
  • Comparative Functional Magnetic Resonance Imaging With Functional Brain Imaging Modalities
  • Design of a Neural Network Classifier for Separation of Images With Chromosomes
  • De-Noising of Body Surface Potential Signals
  • Single Channel Wireless EEG: Proposed Application in Train Drivers
  • Algorithm of remote monitoring ECG using mobile phone: Conception and implementation
  • Statistical validation of physiological indicators for non-invasive and hybrid driver drowsiness detection system
  • Security and Privacy of Wireless Sensor Networks for Biomedical
  • Key Establishment Scheme for Clustered Distributed Sensor Networks
  • Planning and Addressing of Wireless Sensor Networks
  • Sensor Scheduling and Redeployment Mechanisms in Wireless Sensor Networks
  • On the combination of logistic regression and local probability estimates
  • Stochastic Deterioration Processes for Bridge Lifetime Assessment
Biomedical and Environmental Sensing