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Threshold-Independent QRS Detection Using the Dynamic Plosion Index

Ramakrishnan, AG and Prathosh, AP and Ananthapadmanabha, TV (2014) Threshold-Independent QRS Detection Using the Dynamic Plosion Index. In: IEEE SIGNAL PROCESSING LETTERS, 21 (5). pp. 554-558.

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Official URL: http://dx.doi.org/10.1109/LSP.2014.2308591

Abstract

Detection of QRS serves as a first step in many automated ECG analysis techniques. Motivated by the strong similarities between the signal structures of an ECG signal and the integrated linear prediction residual (ILPR) of voiced speech, an algorithm proposed earlier for epoch detection from ILPR is extended to the problem of QRS detection. The ECG signal is pre-processed by high-pass filtering to remove the baseline wandering and by half-wave rectification to reduce the ambiguities. The initial estimates of the QRS are iteratively obtained using a non-linear temporal feature, named the dynamic plosion index suitable for detection of transients in a signal. These estimates are further refined to obtain a higher temporal accuracy. Unlike most of the high performance algorithms, this technique does not make use of any threshold or differencing operation. The proposed algorithm is validated on the MIT-BIH database using the standard metrics and its performance is found to be comparable to the state-of-the-art algorithms, despite its threshold independence and simple decision logic.

Item Type: Journal Article
Additional Information: Copyright for this article belongs to the IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, USA
Keywords: DPI algorithm; dynamic plosion index; ECG signal; GCI detection; QRS detection; threshold free
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Depositing User: Id for Latest eprints
Date Deposited: 11 May 2014 06:44
Last Modified: 11 May 2014 06:46
URI: http://eprints.iisc.ac.in/id/eprint/48936

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