Genetic particle filter improved fuzzy-AEEMD for ECG signal de-noising

Kapoor, Rajiv; Birok, Rajesh

doi:10.1080/10255842.2021.1892659

Cited by 4 publications

(1 citation statement)

References 14 publications

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“…Kapoor and Birok (2020) [59] Takran (2020) [60] Overall noise EEMD Herein, the noise removal procedure follows two phases. Te IMF's were generated from the noisy signal using the EEMD method in the frst phase.…”

Section: Rachakonda and Maheshmentioning

confidence: 99%

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

Pradhan

Neelappu

Jayaraman

et al. 2023

Journal of Healthcare Engineering

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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.

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Section: Rachakonda and Maheshmentioning

confidence: 99%