ArticleBiomedical engineering online2018
Camera-based photoplethysmography in an intraoperative setting.
Article in Biomedical engineering online, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Contactless Technologies, Sensors, and Systems for Cardiac and Respiratory Measurement during Sleep: A Systematic Review.Sensors (Basel, Switzerland) · 2023Pooled it
- Evaluation of In-Ear and Fingertip-Based Photoplethysmography Sensors for Measuring Cardiac Vagal Tone Relevant Heart Rate Variability Parameters.Sensors (Basel, Switzerland) · 2025Article
- Central and Peripheral Circulation Differ during Off-Pump Coronary Artery Bypass Grafting.Reviews in cardiovascular medicine · 2024Article
- Challenges and prospects of visual contactless physiological monitoring in clinical study.NPJ digital medicine · 2023Review
- Monitoring Pulse Rate in the Background Using Front Facing Cameras of Mobile Devices.IEEE journal of biomedical and health informatics · 2023Article
- Clinical applications of contactless photoplethysmography for monitoring in adults: A systematic review and meta-analysis.Journal of clinical and translational science · 2023Review
- Performance analysis of remote photoplethysmography deep filtering using long short-term memory neural network.Biomedical engineering online · 2022Article
- Video-based physiologic monitoring: promising applications for the ICU and beyond.NPJ digital medicine · 2022Article
- Non-contact physiological monitoring of post-operative patients in the intensive care unit.NPJ digital medicine · 2022Article
- Photoplethysmography for demarcation of cutaneous squamous cell carcinoma.Scientific reports · 2021Article
- A Broader Look: Camera-Based Vital Sign Estimation across the Spectrum.Yearbook of medical informatics · 2019Review
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
backgroundCamera-based photoplethysmography (cbPPG) is a measurement technique which enables remote vital sign monitoring by using cameras. To obtain valid plethysmograms, proper regions of interest (ROIs) have to be selected in the video data. Most automated selection methods rely on specific spatial or temporal features limiting a broader application. In this work, we present a new method which overcomes those drawbacks and, therefore, allows cbPPG to be applied in an intraoperative environment.
methodsWe recorded 41 patients during surgery using an RGB and a near-infrared (NIR) camera. A Bayesian skin classifier was employed to detect suitable regions, and a level set segmentation approach to define and track ROIs based on spatial homogeneity.
resultsThe results show stable and homogeneously illuminated ROIs. We further evaluated their quality with regards to extracted cbPPG signals. The green channel provided the best results where heart rates could be correctly estimated in 95.6% of cases. The NIR channel yielded the highest contribution in compensating false estimations.
conclusionsThe proposed method proved that cbPPG is applicable in intraoperative environments. It can be easily transferred to other settings regardless of which body site is considered.
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