Please use this identifier to cite or link to this item: http://idr.nitk.ac.in/jspui/handle/123456789/7041
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dc.contributor.authorShaik, B.S.
dc.contributor.authorNaganjaneyulu, G.V.S.S.K.R.
dc.contributor.authorNarasimhadhan, A.V.
dc.date.accessioned2020-03-30T09:58:26Z-
dc.date.available2020-03-30T09:58:26Z-
dc.date.issued2016
dc.identifier.citation2015 IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2015, 2016, Vol., , pp.-en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/7041-
dc.description.abstractECG analysis is used significantly in diagnosis, and biometrics. QRS complex detection is an important step in any application involving ECG signal. In this work, a novel approach for QRS complex detection based on chirplet transform is proposed. The QRS detection algorithm proposed in this work mainly consists of four steps. A preprocessing step to remove power line interference, computation of chirplet transform, an adaptive threshold technique for detecting possible QRS complex peaks, and followed by a decision making step. The performance of proposed algorithm for QRS complex detection is evaluated on MIT-BIH database and compared with the results of different algorithms in the state of art. The performance of the algorithm is comparable with the state of art of QRS complex detection. � 2015 IEEE.en_US
dc.titleA novel approach for QRS delineation in ECG signal based on chirplet transformen_US
dc.typeBook chapteren_US
Appears in Collections:2. Conference Papers

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