Blind extraction of ECG signals based on similarity in the phase space

Yin Li, Fagang Li, Shanxiang Lyu, Meng Xu and Shiyuan Wang

Chaos, Solitons & Fractals, 2021, vol. 147, issue C

Abstract: Electrocardiogram (ECG), as a biological signal that contains important information about the cardiac activities of heart, exhibits chaotic characteristics. Since a clean ECG signal is of vital importance in the diagnosis and analysis of heart diseases, we address the task of extracting ECG for a set of noisy observations. Based on the phase space similarity of ECG, we propose an objective called similarity index which fully describes this similarity. A low-complexity algorithm is presented for the similarity index. Simulation results confirm the effectiveness of the proposed method by making comparisons with conventional benchmarks.

Keywords: Electrocardiogram (ECG); Blind extraction; Chaotic characteristics; Phase space (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:147:y:2021:i:c:s0960077921003040

DOI: 10.1016/j.chaos.2021.110950

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