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Published on: June 5, 2019
Evaluation of two detrending techniques for application in Heart Rate Variability
K Shafqat1, S K Pal, P A Kyriacou
1School of Engineering and Mathematical Sciences, City University, London, EC1V 0HB, UK. k.shafqat@city.ac.uk
Summary
Wavelet Packet (WP) analysis offers superior detrending for Heart Rate Variability (HRV) analysis compared to the Smoothness Prior Approach (SPA). WP better preserves signal components and attenuates trends, making it ideal for HRV studies.
Area of Science:
- Biomedical Engineering
- Signal Processing
- Cardiology
Background:
- Accurate Heart Rate Variability (HRV) analysis requires effective detrending of RR-interval time series.
- Existing detrending methods, such as Smoothness Prior Approach (SPA), may have limitations.
Purpose of the Study:
- To compare the performance of Wavelet Packet (WP) analysis and SPA for detrending RR-interval data.
- To evaluate which method better preserves essential signal components for HRV analysis.
Main Methods:
- Detrending of simulated and real RR-interval time series using SPA and WP algorithms.
- Analysis of time and frequency domain parameters post-detrending.
- Comparative performance evaluation of both methods.
Main Results:
- Wavelet Packet (WP) analysis demonstrated superior performance over Smoothness Prior Approach (SPA).
- WP achieved greater attenuation of slow trends while preserving other signal components more effectively.
- SPA was computationally slower and potentially unsuitable for long RR-interval signals.
Conclusions:
- Wavelet Packet (WP) analysis is a more effective detrending method for Heart Rate Variability (HRV) analysis.
- WP's efficiency and signal preservation capabilities make it preferable to SPA for HRV studies.
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