ANN BASED ADAPTIVE QRS DETECTOR

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DC Field	Value	Language
dc.contributor.author	Asthana, Vivek	-
dc.date.accessioned	2014-11-10T11:30:37Z	-
dc.date.available	2014-11-10T11:30:37Z	-
dc.date.issued	1996	-
dc.identifier	M.Tech	en_US
dc.identifier.uri	http://hdl.handle.net/123456789/7646	-
dc.guide	Sharma, Ambalika	-
dc.guide	Saxena, S. C.	-
dc.description.abstract	The technique of Artificial Neural Network (ANN) has been employed for adaptive filtering of ECG data. First, the error back propagation ANN (5-3-1) w.As trained for every portion of the ECG wave, except the QRS complex. When the ECG signal to be filtered was presented to the trained network, it modelled only those portions of ECGs which it had learnt during the process of training. As a result, the network filtered all the QRS complexes as output. Finally the method was used to filter out QRS complexes from the CSE data base.	en_US
dc.language.iso	en	en_US
dc.subject	ELECTRICAL ENGINEERING	en_US
dc.subject	ANN	en_US
dc.subject	ADAPTIVE QRS DETECTOR	en_US
dc.subject	ECG WAVE	en_US
dc.title	ANN BASED ADAPTIVE QRS DETECTOR	en_US
dc.type	M.Tech Dessertation	en_US
dc.accession.number	247647	en_US
Appears in Collections:	MASTERS' THESES (Electrical Engg)

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