| DOI | Trouver le DOI : https://doi.org/10.1109/BSN63547.2024.10780670 |
|---|
| Auteur | Rechercher : Rivest-Hénault, David1; Rechercher : Proulx, Catherine1Identifiant ORCID : https://orcid.org/0000-0002-1776-2082; Rechercher : Ho, Kendall; Rechercher : Jafari, Nooshin; Rechercher : Yakubu, Titilola; Rechercher : Torres, Samya; Rechercher : Lim, Michael; Rechercher : Pecora, Linda1; Rechercher : Bernhardt, Richard1; Rechercher : Auer, Sofia2; Rechercher : Vaughan, Thomas1Identifiant ORCID : https://orcid.org/0009-0004-3214-3847; Rechercher : Jiang, Di1 |
|---|
| Affiliation | - Conseil national de recherches Canada. Dispositifs médicaux
- Conseil national de recherches Canada. Technologies numériques
|
|---|
| Format | Texte, Article |
|---|
| Conférence | 2024 IEEE 20th International Conference on Body Sensor Networks (BSN), October 15-17, 2024, Chicago, Illinois, United States |
|---|
| Résumé | Remote photoplethysmography (rPPG) allows to optically measure vital signs, such as heart rate, without physical contact. Signal quality impacts the reliability of derived measurements, but the effects of influential factors in rPPG are not well understood. This research specifically examines five factors that are hypothesized to be important: camera type, skin tone, age, gender, and body mass index (BMI). We investigated these factors using a purposely collected dataset from a comparatively large and diverse population (n=126). For each participant, two simultaneous video streams were recorded using different quality hardware to allow to study the effect of choice of camera type. Statistical analysis based on two quality metrics (signal-to-noise ratio and mean absolute error in heart rate measurements) shows that the choice of camera type is important. Generalized linear mixed models provide evidence of a compounded effect between low quality camera and young age with respect to both signal quality decrease and an increase in measurement error. Analysis of the models coefficients brings evidences that darker skin tone also appears to reduce signal quality, but the results are statistically inconclusive in what concerns heart rate measurements. We observe no significant effect of gender or BMI on rPPG in this study. We believe that comprehensive understanding of the influential factors in rPPG will lead to more reliable and inclusive technologies. |
|---|
| Date de publication | 2024-12-11 |
|---|
| Maison d’édition | IEEE |
|---|
| Dans | |
|---|
| Langue | anglais |
|---|
| Publications évaluées par des pairs | Oui |
|---|
| Exporter la notice | Exporter en format RIS |
|---|
| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
|---|
| Identificateur de l’enregistrement | ab6d460d-1115-493f-a59e-e5c79a003210 |
|---|
| Enregistrement créé | 2025-02-14 |
|---|
| Enregistrement modifié | 2025-03-03 |
|---|
