Rolling shutter speckle plethysmography for quantitative cardiovascular monitoring.


Journal

Biomedical optics express
ISSN: 2156-7085
Titre abrégé: Biomed Opt Express
Pays: United States
ID NLM: 101540630

Informations de publication

Date de publication:
01 Mar 2024
Historique:
received: 10 11 2023
revised: 15 01 2024
accepted: 05 02 2024
medline: 18 3 2024
pubmed: 18 3 2024
entrez: 18 3 2024
Statut: epublish

Résumé

We propose a new speckle-based plethysmography technique, termed rolling shutter speckle plethysmography (RSSPG), which can quantitatively measure the velocity and volume fluctuations of blood flow during the cardiac cycle. Our technique is based on the rolling shutter speckle imaging, where the short row-by-row time differences in the rolling shutter image sensors are used to measure the temporal decorrelation behavior of vertically elongated speckles from a single image capture. Temporal analysis of the speckle field provides rich information regarding the dynamics of the scattering media, such as both the dynamic scattering fraction and the speckle decorrelation time. Using a sequence of images, RSSPG can monitor fluctuations in the blood flow dynamics while separating velocity and volume changes in blood vessels and obtaining high-quality plethysmography waveforms compared to regular photoplethysmography. We demonstrate the quantitative RSSPG based on accurate fitting of the speckle dynamics model, as well as the qualitative RSSPG based on simple row-by-row correlation (RIC) calculation for fast and robust analysis. Based on exploratory

Identifiants

pubmed: 38495693
doi: 10.1364/BOE.511755
pii: 511755
pmc: PMC10942690
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1540-1552

Informations de copyright

© 2024 Optica Publishing Group.

Déclaration de conflit d'intérêts

The authors declare that there are no conflicts of interest related to this article.

Auteurs

Yujin Lee (Y)

School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea.

Sangjun Byun (S)

School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea.

Changyoon Yi (C)

School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea.

Jaewoo Jung (J)

School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea.

Seung Ah Lee (SA)

School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea.

Classifications MeSH