FEATURE EXTRACTION FROM ECG SIGNAL USING WAVELET TRANSFORMS

C., Jaya Krishna

dc.contributor.author	C., Jaya Krishna
dc.date.accessioned	2014-12-06T06:58:43Z
dc.date.available	2014-12-06T06:58:43Z
dc.date.issued	2001
dc.identifier	M.Tech	en_US
dc.identifier.uri	http://hdl.handle.net/123456789/13467
dc.guide	Saxena, S. C.
dc.guide	Kumar, Vinod
dc.description.abstract	Wavelet Transforms are widely preferred for the analysis of non-stationary signals because of their property of multi-resolution analysis, thereby implying the analysis of the signal of different frequencies with different resolutions. They are in turn robust to noise signals which are mixed up with the signal of interest during acquisition. This report presents discrete wavelet transform based methods of pre-processing of the ECG signal for the removal of high frequency noise and low frequency baseline drift. It also presents a discrete wavelet transform based algorithm for the detection of QRS complex in the ECG signal. The algorithms have been tested using the CSE database	en_US
dc.language.iso	en	en_US
dc.subject	ELECTRICAL ENGINEERING	en_US
dc.subject	FEATURE EXTRACTION	en_US
dc.subject	ECG SIGNAL	en_US
dc.subject	WAVELET TRANSFORMS	en_US
dc.title	FEATURE EXTRACTION FROM ECG SIGNAL USING WAVELET TRANSFORMS	en_US
dc.type	M.Tech Dessertation	en_US
dc.accession.number	G10261	en_US