iPPG 2 cPPG: Reconstructing contact from imaging photoplethysmographic signals using U-Net architectures - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Computers in Biology and Medicine Année : 2021

iPPG 2 cPPG: Reconstructing contact from imaging photoplethysmographic signals using U-Net architectures

Résumé

Imaging photoplethysmography (iPPG) is an optical technique dedicated to the assessment of several vital functions using a simple camera. Signicant eorts have been made to reliably estimate heart and respiratory rates. Currently, research is focusing on the remote estimation of oxygen saturation and blood pressure (BP). The limited number of publicly available data tends to restrict the advancements related to BP estimation. To overcome this limit, we propose to split the problem in a two-stage processing chain: (i) converting iPPG to contact PPG (cPPG) signals using available video dataset and (ii) estimate BP from converted cPPG signals by exploiting large existing databases (e.g. MIMIC). This article presents the rst developments where a method for converting iPPG signals measured using a camera into cPPG signals measured by contact sensors is proposed. Real and imaginary parts of the continuous wavelet transform (CWT) of cPPG and iPPG signals are passed to various deep pre-trained U-shaped architectures. Conventional metrics and specic waveform estimators have been implemented to validate the relevance of the predictions. The results exhibit good agreements towards a large portion of metrics, showing that the neural architectures properly estimated cPPG from iPPG signals through their CWT representations. The performance indicates that BP estimation from iPPG signals converted to cPPG signals can now be envisaged. Consequently, future work will focus on the integration of models dedicated to BP estimation trained on MIMIC. This is the rst demonstration of a method for accurate reconstruction of cPPG from iPPG signals satisfying pulse waveform criteria.
Fichier principal
Vignette du fichier
article V2.pdf (7.8 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03352099 , version 1 (22-09-2021)

Identifiants

Citer

Frédéric Bousefsaf, Djamaleddine Djeldjli, Yassine Ouzar, Choubeila Maaoui, Alain Pruski. iPPG 2 cPPG: Reconstructing contact from imaging photoplethysmographic signals using U-Net architectures. Computers in Biology and Medicine, 2021, 138, pp.104860. ⟨10.1016/j.compbiomed.2021.104860⟩. ⟨hal-03352099⟩
127 Consultations
82 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More