Computational Tools and Techniques for Biomedical Signal Processing
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Computational Tools and Techniques for Biomedical Signal Processing

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Release Date: August, 2016|Copyright: © 2017 |Pages: 415
DOI: 10.4018/978-1-5225-0660-7
ISBN13: 9781522506607|ISBN10: 1522506608|EISBN13: 9781522506614
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Description & Coverage
Description:

Biomedical signal processing in the medical field has helped optimize patient care and diagnosis within medical facilities. As technology in this area continues to advance, it has become imperative to evaluate other ways these computation techniques could be implemented.

Computational Tools and Techniques for Biomedical Signal Processing investigates high-performance computing techniques being utilized in hospital information systems. Featuring comprehensive coverage on various theoretical perspectives, best practices, and emergent research in the field, this book is ideally suited for computer scientists, information technologists, biomedical engineers, data-processing specialists, and medical physicists interested in signal processing within medical systems and facilities.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Clustering Techniques
  • Data Compression
  • Healthcare Information Systems
  • Kalman Filter Algorithm
  • Medical Imaging
  • Sensor Technology
  • Wavelet Decomposition
Reviews & Statements

Editor Singh offers this research compilation for computer and information scientists, medical technicians, and data processing specialists on computational techniques in biomedical signal processing. Contributions address a variety of medical information and technology problems including electrocardiogram (ECG) data compression and analysis, electromyogram (EMG) signal processing, blood pressure monitoring with cuffless and noninvasive techniques, analysis of heart rate variability across different populations, battery life extension of Holter monitors, detection of diabetic retinopathy, improving medical image quality, reducing medical errors, data mining to improve diagnosis and epidemiological predictions, and developing nanoscale integrated circuits. Data analysis methods discussed include nonlinear complexity sorting, Kalman filter algorithm, component analysis, wavelet decomposition, edge information, feature extraction, MATLAB, Zigbee, and optimized clustering techniques, among others.

– Protoview Reviews
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Editor/Author Biographies
Butta Singh received his Bachelor’s degree in Electronics and Communication Engineering from Guru Nanak Dev Engineering College, Ludhiana, Punjab, India in 2002, Master’s degree in Instrumentation and Control Engineering from Sant Longowal Institute of Engineering and Technology, Longowal, Sangrur, Punjab, India in 2005 and PhD degree from National Institute of Technology, Jalandhar, Punjab, India. He is serving as a Asst professor in the Department of Electronics and Communication Engineering, Guru Nanak Dev University, Regional Campus, Jalandhar, Punjab, India. His professional research interests are in signal processing, in particular, applied to biomedical applications. He has published over 40 research articles in internationally reputed journals and conference proceedings.
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