Title: An advanced manta ray search optimisation with likelihood marginal classification mechanism for ECG arrhythmia detection

Authors: Budidi Udaya Kumar; Jaidhan Beera John; Bharath Kumar Reddy Soma Venkata; Ummadisetty Sreenivasulu

Addresses: Department of EECE, GITAM University, Visakhapatnam-530045, India ' Department of Computer Science and Engineering, GIT, GITAM University, Visakhapatnam-530045, India ' Department of EECE, GITAM University, Visakhapatnam-530045, India ' Department of EECE, GITAM University, Visakhapatnam-530045, India

Abstract: The proposed work objects to develop an advanced optimisation-based classification system for identifying the arrhythmia disease with increased accuracy and reduced error rate. The optimal features are selected using the manta ray search optimisation (MRSO) technique. The likelihood marginal classification (LMC) approach is employed to predict the classified label as whether normal or disease affected. During analysis, the different types of performance measures are used to evaluate the results of the proposed approach. Also, the obtained values are compared with the existing techniques for showing the effectiveness of the proposed model.

Keywords: electrocardiogram; ECG; cardiovascular disease; manta ray search optimisation; MRSO; likelihood marginal classification; LMC.

DOI: 10.1504/IJMEI.2025.145038

International Journal of Medical Engineering and Informatics, 2025 Vol.17 No.2, pp.142 - 156

Received: 11 Mar 2022
Accepted: 27 Jul 2022
Published online: 18 Mar 2025 *

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