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Multi-parameter detection of ectopic heart beats

Palaniappan, Ramaswamy, Gupta, C.N., Luk, C.K., Krishnan, S.M. (2004) Multi-parameter detection of ectopic heart beats. In: IEEE International Workshop on Biomedical Circuits and Systems, 2004. . IEEE ISBN 0-7803-8665-5. (doi:10.1109/BIOCAS.2004.1454132) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1109/BIOCAS.2004.1454132

Abstract

We analyse features from R waveform of electrocardiogram (ECG) and blood pressure (BP) signals for intelligent detection of ectopic (premature) heart beats. Detection of these beats are important are they could be pre-cursor for serious arrhythmias. The combination of ECG and blood pressure signals to detect ectopic heart beats are relatively new as most methods use only ECG signals. Two new features, mobility and complexity factor (used in electroencephalogram analysis) derived from R waveform of ECG signal are studied in addition to the conventional ECG and BP features. Three cases of beats are considered: 2 ectopic - premature ventricular contraction (PVC) and premature supraventricular contraction (PSC) and normal (N). All the features are normalized with some factor inherent in the signal to reduce the inter-subject variance of the features. Data from 50 subjects totaling 3000 beats (1000 N, 1000 PSC and 1000 PVC) from Massachusetts General Hospital/Marquette Foundation database are used. The 13 features were classified by the Multilayer Perceptron - Backpropagation neural network into the 3 classes. The results gave classification performance up to 96.47%. It is concluded that ECG and BP features could be used to detect ectopic beats successfully.

Item Type: Conference or workshop item (Proceeding)
DOI/Identification number: 10.1109/BIOCAS.2004.1454132
Additional information: Unmapped bibliographic data: LA - English [Field not mapped to EPrints] J2 - Int. Workshop Biomed. Cir. Syst. [Field not mapped to EPrints] AD - Biomedical Engineering Research Centre, Nanyang Technological University, Singapore, Singapore [Field not mapped to EPrints] DB - Scopus [Field not mapped to EPrints] M3 - Conference Paper [Field not mapped to EPrints] C3 - 2004 IEEE International Workshop on Biomedical Circuits and Systems [Field not mapped to EPrints]
Uncontrolled keywords: Blood, Database systems, Edge detection, Electrocardiography, Feature extraction, Neural networks, Parameter estimation, Waveform analysis, Blood pressure (BP), Ectopic heart beats, Multi-parameter detection, Cardiology
Divisions: Faculties > Sciences > School of Computing
Faculties > Sciences > School of Computing > Data Science
Depositing User: Palaniappan Ramaswamy
Date Deposited: 15 Dec 2018 17:48 UTC
Last Modified: 30 May 2019 08:29 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/70754 (The current URI for this page, for reference purposes)
Palaniappan, Ramaswamy: https://orcid.org/0000-0001-5296-8396
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