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Computational Tools and Techniques for Biomedical Signal Processing

Computational Tools and Techniques for Biomedical Signal Processing
Author(s)/Editor(s): Butta Singh (Guru Nanak Dev University, India)
Copyright: ©2017
DOI: 10.4018/978-1-5225-0660-7
ISBN13: 9781522506607
ISBN10: 1522506608
EISBN13: 9781522506614

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View Computational Tools and Techniques for Biomedical Signal Processing on the publisher's website for pricing and purchasing information.


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.



Reviews and Testimonials

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

Author's/Editor's Biography

Butta Singh (Ed.)
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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