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Article

Wavelet Analysis and Self-Similarity of Photoplethysmography Signals for HRV Estimation and Quality Assessment

Welltory Inc., 541 Jefferson, Suite 100, Redwood City, CA 94063, USA
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Academic Editor: Marco Altini
Sensors 2021, 21(20), 6798; https://doi.org/10.3390/s21206798
Received: 15 September 2021 / Revised: 1 October 2021 / Accepted: 6 October 2021 / Published: 13 October 2021
Peak-to-peak intervals in Photoplethysmography (PPG) can be used for heart rate variability (HRV) estimation if the PPG is collected from a healthy person at rest. Many factors, such as a person’s movements or hardware issues, can affect the signal quality and make some parts of the PPG signal unsuitable for reliable peak detection. Therefore, a robust HRV estimation algorithm should not only detect peaks, but also identify corrupted signal parts. We introduce such an algorithm in this paper. It uses continuous wavelet transform (CWT) for peak detection and a combination of features derived from CWT and metrics based on PPG signals’ self-similarity to identify corrupted parts. We tested the algorithm on three different datasets: a newly introduced Welltory-PPG-dataset containing PPG signals collected with smartphones using the Welltory app, and two publicly available PPG datasets: TROIKAand PPG-DaLiA. The algorithm demonstrated good accuracy in peak-to-peak intervals detection and HRV metric estimation. View Full-Text
Keywords: photoplethysmography; heart rate variability; signal processing; wavelet transform; signal quality photoplethysmography; heart rate variability; signal processing; wavelet transform; signal quality
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MDPI and ACS Style

Neshitov, A.; Tyapochkin, K.; Smorodnikova, E.; Pravdin, P. Wavelet Analysis and Self-Similarity of Photoplethysmography Signals for HRV Estimation and Quality Assessment. Sensors 2021, 21, 6798. https://doi.org/10.3390/s21206798

AMA Style

Neshitov A, Tyapochkin K, Smorodnikova E, Pravdin P. Wavelet Analysis and Self-Similarity of Photoplethysmography Signals for HRV Estimation and Quality Assessment. Sensors. 2021; 21(20):6798. https://doi.org/10.3390/s21206798

Chicago/Turabian Style

Neshitov, Alexander, Konstantin Tyapochkin, Evgeniya Smorodnikova, and Pavel Pravdin. 2021. "Wavelet Analysis and Self-Similarity of Photoplethysmography Signals for HRV Estimation and Quality Assessment" Sensors 21, no. 20: 6798. https://doi.org/10.3390/s21206798

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