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A Novel Algorithm for Heart Rate Estimation Based on Synchrosqueezing Transform

Nils Laurent 1 Sylvain Meignen 1 Julie Fontecave-Jallon 2 Bertrand Rivet 3 
1 DAO - Données, Apprentissage et Optimisation
LJK - Laboratoire Jean Kuntzmann
2 TIMC-PRETA - Physiologie cardio-Respiratoire Expérimentale Théorique et Appliquée
TIMC - Translational Innovation in Medicine and Complexity / Recherche Translationnelle et Innovation en Médecine et Complexité - UMR 5525
3 GIPSA-VIBS - GIPSA - Vision and Brain Signal Processing
GIPSA-PSD - GIPSA Pôle Sciences des Données
Abstract : To estimate the heart rate (HR) from electrocardiogram (ECG), time-frequency representations such as the short-time Fourier transform (STFT) is often used. As the STFT is constrained by the choice of a specific analysis window used for its definition, we alternatively propose to estimate HR from a synchrosqueezed STFT. More precisely, we build a novel algorithm inspired by non-negative matrix factorization to estimate HR by determining the minimal Wasserstein distance between a synchrosqueezed STFT and columns of a specific dictionary matrix. Throughout numerical simulations carried out on both synthetic and real ECGs, we show in what way to use a synchrosqueezed STFT rather than STFT improves HR estimation.
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https://hal.archives-ouvertes.fr/hal-03544794
Contributor : Bertrand Rivet Connect in order to contact the contributor
Submitted on : Friday, April 1, 2022 - 7:30:11 PM
Last modification on : Friday, May 6, 2022 - 4:52:15 PM

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Nils Laurent, Sylvain Meignen, Julie Fontecave-Jallon, Bertrand Rivet. A Novel Algorithm for Heart Rate Estimation Based on Synchrosqueezing Transform. EUSIPCO 2021 - 29th European Signal Processing Conference (EUSIPCO), Aug 2021, Dublin, Ireland. pp.1286-1290, ⟨10.23919/EUSIPCO54536.2021.9616306⟩. ⟨hal-03544794⟩

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