A Review on the Applications of Time-Frequency Methods in ECG Analysis

被引：3

作者：

Pradhan B.K. ^{[1
]}

Neelappu B.C. ^{[1
]}

Sivaraman J. ^{[1
]}

Kim D. ^{[2
,3
]}

Pal K. ^{[1
]}

机构：

[1] Department of Biotechnology and Medical Engineering, National Institute of Technology Rourkela, Rourkela

[2] Graduate School of International Agricultural Technology, Seoul National University, Gangwon-do, Pyeongchang-gun

[3] Institute of Food Industrialization, Institutes of Green Bioscience and Technology, Seoul National University, Gangwon-do, Pyeongchang-gun

来源：

Journal of Healthcare Engineering | 2023年 / 2023卷

关键词：

Electrocardiography - Electrophysiology - Fourier series;

D O I：

10.1155/2023/3145483

中图分类号：

学科分类号：

摘要：

The joint time-frequency analysis method represents a signal in both time and frequency. Thus, it provides more information compared to other one-dimensional methods. Several researchers recently used time-frequency methods such as the wavelet transform, short-time Fourier transform, empirical mode decomposition and reported impressive results in various electrophysiological studies. The current review provides comprehensive knowledge about different time-frequency methods and their applications in various ECG-based analyses. Typical applications include ECG signal denoising, arrhythmia detection, sleep apnea detection, biometric identification, emotion detection, and driver drowsiness detection. The paper also discusses the limitations of these methods. The review will form a reference for future researchers willing to conduct research in the same field. © 2023 Bikash K. Pradhan et al.

引用

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