Why the study?
Does Stockwell transform improve spectral analysis of heart rate variability signals compared to continuous Morlet wavelet transform in normal subjects?
Does Stockwell transform improve spectral analysis of heart rate variability signals compared to continuous Morlet wavelet transform in normal subjects?
Stockwell transform provides improved spectral analysis of heart rate variability signals compared to continuous Morlet wavelet transform.
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ST may refine HRV spectral metrics versus CMWT in normals; leaves open validation for clinical populations and outcomes.
This paper discusses the use of Stockwell transform (ST) in time-frequency domain for spectral analysis of heart rate variability (HRV) signals. The ST is depicted numerically and compared with well-liked method of wavelet transform known as continuous Morlet wavelet transform (CMWT). The results of this study show that the normalized mean power and total normalized power in VLF (0.004Hz - 0.04Hz), LF (0.04 Hz - 0.15 Hz) and HF (0.15 Hz - 0.4 Hz) were improved as compared to CMWT for statistical significance value of p = 0.00016 and P <; 0.00001. For this analysis, Electrocardiogram (ECG) was recorded in fifteen normal subjects (mean age approximate 28 years, range 23 -34 years and mean hight approximate 162 Cms) in supine position for twenty minutes.
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Chauhan et al. (2020) studied this question.
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