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Detection of ectopic heart beats using ECG and blood pressure signals

Palaniappan, Ramaswamy, Krishnan, S.M. (2005) Detection of ectopic heart beats using ECG and blood pressure signals. In: 2004 International Conference on Signal Processing and Communications, 2004. SPCOM '04. . pp. 573-576. IEEE ISBN 0-7803-8674-4. (doi:10.1109/SPCOM.2004.1458525) (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/SPCOM.2004.1458525

Abstract

In this paper, we propose using a combination of ECG and blood pressure signals to detect ectopic heart beats, specifically premature supraventricular and ventricular contractions (PSC and PVC). Detection of these beats are important are they could be pre-cursor for serious arrhythmias. Common detection methods of these beats use only ECG signals. However, the stroke volume changes after the occurrence of these beats, which results in blood pressure variations. Following this fact, we combined features extracted from QRS complex of ECG signal Lead I with systolic and diastolic arterial blood pressure values to classify normal, PSC and PVC beats. Data from 5 subjects totaling 750 beats (250 normal, 250 PSC and 250 PVC) from Massachusetts General Hospital/Marquette Foundation (MGH/MF) database were used. The data were split equally for Multilayer Perceptron - Backpropagation (MLP-BP) neural network training and testing. The combined features were classified by the MLP-BP neural network into the 3 classes. The features were normalized using some parameter inherent in the signals. This was to normalize the features across different subjects. The results gave classification performance up to 92.00%. It is concluded that ECG and blood pressure features could detect PSC and PVC.

Item Type: Conference or workshop item (Proceeding)
DOI/Identification number: 10.1109/SPCOM.2004.1458525
Additional information: Unmapped bibliographic data: LA - English [Field not mapped to EPrints] J2 - Int. Conf. Signal Proces. Commun. [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 International Conference on Signal Processing and Communications, SPCOM [Field not mapped to EPrints]
Uncontrolled keywords: Backpropagation, Blood, Data acquisition, Database systems, Feature extraction, Signal detection, Ectopic heart beats, Premature supraventricular contractions (PSC), Premature ventricular contractions (PVC), Electrocardiography
Divisions: Faculties > Sciences > School of Computing
Faculties > Sciences > School of Computing > Data Science
Depositing User: Palaniappan Ramaswamy
Date Deposited: 15 Dec 2018 14:19 UTC
Last Modified: 30 May 2019 08:29 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/70751 (The current URI for this page, for reference purposes)
Palaniappan, Ramaswamy: https://orcid.org/0000-0001-5296-8396
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