ArticleSensors (Basel, Switzerland)2021
Assessment of ROI Selection for Facial Video-Based rPPG.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Lighting effects on optimal facial regions for remote heart rate measurement.NPJ cardiovascular health · 2026Article
- Roadmap of remote photoplethysmography from heart rate measurement toward clinical translation.NPJ digital medicine · 2026Article
- Advancing remote photoplethysmography (rPPG) to facilitate cardiac monitoring in naturalistic settings using webcam technology.Behavior research methods · 2026Article
- Evaluating remote photoplethysmography: A 10-minute video dataset in uncontrolled lighting.Data in brief · 2025Article
- The role of face regions in remote photoplethysmography for contactless heart rate monitoring.NPJ digital medicine · 2025Article
- Low-Complexity Timing Correction Methods for Heart Rate Estimation Using Remote Photoplethysmography.Sensors (Basel, Switzerland) · 2025Article
- Remote photoplethysmography for health assessment: a review informed by IntelliProve technology.Frontiers in digital health · 2025Review
- Optimal facial regions for remote heart rate measurement during physical and cognitive activities.NPJ cardiovascular health · 2024Article
- Integrating Remote Photoplethysmography and Machine Learning on Multimodal Dataset for Noninvasive Heart Rate Monitoring.Sensors (Basel, Switzerland) · 2024Article
- Introducing the Pi-CON Methodology to Overcome Usability Deficits during Remote Patient Monitoring.Sensors (Basel, Switzerland) · 2024Review
- Video-based sympathetic arousal assessment via peripheral blood flow estimation.Biomedical optics express · 2023Article
- Heart Rate Estimation from Facial Image Sequences of a Dual-Modality RGB-NIR Camera.Sensors (Basel, Switzerland) · 2023Article
- Dynamic Region of Interest Selection in Remote Photoplethysmography: Proof-of-Concept Study.JMIR formative research · 2023Article
- Benchmarking of Contactless Heart Rate Measurement Systems in ARM-Based Embedded Platforms.Sensors (Basel, Switzerland) · 2023Article
- GRGB rPPG: An Efficient Low-Complexity Remote Photoplethysmography-Based Algorithm for Heart Rate Estimation.Bioengineering (Basel, Switzerland) · 2023Article
- Evaluating RGB channels in remote photoplethysmography: a comparative study with contact-based PPG.Frontiers in physiology · 2023Article
- Photoplethysmography upon cold stress-impact of measurement site and acquisition mode.Frontiers in physiology · 2023Article
- A Study of Projection-Based Attentive Spatial-Temporal Map for Remote Photoplethysmography Measurement.Bioengineering (Basel, Switzerland) · 2022Article
- Blood Pressure Measurement: From Cuff-Based to Contactless Monitoring.Healthcare (Basel, Switzerland) · 2022Review
- Effectiveness of Remote PPG Construction Methods: A Preliminary Analysis.Bioengineering (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
In general, facial image-based remote photoplethysmography (rPPG) methods use color-based and patch-based region-of-interest (ROI) selection methods to estimate the blood volume pulse (BVP) and beats per minute (BPM). Anatomically, the thickness of the skin is not uniform in all areas of the face, so the same diffuse reflection information cannot be obtained in each area. In recent years, various studies have presented experimental results for their ROIs but did not provide a valid rationale for the proposed regions. In this paper, to see the effect of skin thickness on the accuracy of the rPPG algorithm, we conducted an experiment on 39 anatomically divided facial regions. Experiments were performed with seven algorithms (CHROM, GREEN, ICA, PBV, POS, SSR, and LGI) using the UBFC-rPPG and LGI-PPGI datasets considering 29 selected regions and two adjusted regions out of 39 anatomically classified regions. We proposed a BVP similarity evaluation metric to find a region with high accuracy. We conducted additional experiments on the TOP-5 regions and BOT-5 regions and presented the validity of the proposed ROIs. The TOP-5 regions showed relatively high accuracy compared to the previous algorithm's ROI, suggesting that the anatomical characteristics of the ROI should be considered when developing a facial image-based rPPG algorithm.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.