PROCESSING AND CLASSIFICATION OF PHYSIOLOGICAL SIGNALS USING WAVELET TRANSFORM AND MACHINE LEARNING ALGORITHMS

PROCESSING AND CLASSIFICATION OF PHYSIOLOGICAL SIGNALS USING WAVELET TRANSFORM AND MACHINE LEARNING ALGORITHMS

Over the last century, physiological signals have been broadly analyzed and processed not only to assess the function of the human physiology, but also to better diagnose illnesses or injuries and provide treatment options for patients. In particular, Electrocardiogram (ECG), blood pressure (BP) and...

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Bibliographic Details
Main Author: Bsoul, Abed Al-Raoof
Format: Others
Published: VCU Scholars Compass 2011
Subjects:
Blood Loss Severity Prediction
Wavelet Transformation
Arrhythmia Classification
Arrhythmia Severity Detection
ECG Waves Detection
Support Vector Machine
Classification
MIT/BIH Arrhythmia Database
Lower Body Negative Pressure Dataset
Impedance Signal
Blood Pressure Signal
Bodymedia
Computer Sciences
Physical Sciences and Mathematics
Online Access:http://scholarscompass.vcu.edu/etd/258
http://scholarscompass.vcu.edu/cgi/viewcontent.cgi?article=1257&context=etd

Internet

http://scholarscompass.vcu.edu/etd/258
http://scholarscompass.vcu.edu/cgi/viewcontent.cgi?article=1257&context=etd

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