Why the study?
Joint time-frequency analysis methods provide more information than one-dimensional methods, prompting a comprehensive review of their applications and limitations in ECG-based analyses.
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Design
Review
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Does not alter routine clinical ECG interpretation; leaves open the optimal integration of these time-frequency.
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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Pradhan et al. (2023) studied this question.
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