Title: Statistical method for ECG analysis and diagnostic

Authors: Hanen Chaouch; Khaled Ouni; Lotfi Nabli

Addresses: National School of Engineers of Monastir, Ibn Aljazzar City, Monastir 5019, Tunisia ' National School of Engineers of Monastir, Ibn Aljazzar City, Monastir 5019, Tunisia ' National School of Engineers of Monastir, Ibn Aljazzar City, Monastir 5019, Tunisia

Abstract: In this paper, a statistical method of ECG analysis and diagnostic is proposed. This method is based on three parts: data simplification using multiscaled PCA, faults detection and localisation by introducing classic linear PCA. The studied data is presented as a multivariate matrix. The variables of this matrix are extracted from the ECG waves characteristics: waves amplitudes and segments measurements. The developed approach allows detecting arrhythmias and heart beat troubles. Comparing the results obtained by this approach and the data of the expert, we approve the performance of our study.

Keywords: ECG diagnostic; mutiscaled PCA; fault detection; fault isolation; arrhythmia.

DOI: 10.1504/IJBET.2018.089244

International Journal of Biomedical Engineering and Technology, 2018 Vol.26 No.1, pp.1 - 12

Received: 04 Feb 2016
Accepted: 13 Apr 2016
Published online: 11 Jan 2018 *

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