ArticleBioengineering (Basel, Switzerland)2022
Effectiveness of Remote PPG Construction Methods: A Preliminary Analysis.
Article in Bioengineering (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06544226 (A Novel Pilot Study Examining the Potential of Smartphones to Capture New Types of Data That Can Accurately Assess the Physiological and Psychological Health Status of an Individual With an Eating Disorder), which is not on this map. Cited by 17 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
A Novel Pilot Study Examining the Potential of Smartphones to Capture New Types of Data That Can Accurately Assess the Physiological and Psychological Health Status of an Individual With an Eating Disorder
Who cites it
17 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
- Adaptive physiology-informed correction for reliable remote photoplethysmography heart-rate monitoring.NPJ digital medicine · 2026Article
- Balancing cardiac privacy with quality in video recordings.Communications medicine · 2025Article
- Feasibility of an AI-Enabled Smart Mirror Integrating MA-rPPG, Facial Affect, and Conversational Guidance in Realtime.Sensors (Basel, Switzerland) · 2025Article
- The role of face regions in remote photoplethysmography for contactless heart rate monitoring.NPJ digital medicine · 2025Article
- Remote Photoplethysmography Technology for Blood Pressure and Hemoglobin Level Assessment in the Preoperative Assessment Setting: Algorithm Development Study.JMIR formative research · 2025Article
- Hyperspectral reconstruction for mobile diabetic foot blood perfusion monitoring.BMC artificial intelligence · 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
- A machine learning-based approach for constructing remote photoplethysmogram signals from video cameras.Communications medicine · 2024Article
- A Novel Non-Contact Detection and Identification Method for the Post-Disaster Compression State of Injured Individuals Using UWB Bio-Radar.Bioengineering (Basel, Switzerland) · 2023Article
- The Use of Photoplethysmography in the Assessment of Mental Health: Scoping Review.JMIR mental health · 2023Article
- Contactless Camera-Based Heart Rate and Respiratory Rate Monitoring Using AI on Hardware.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
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The contactless recording of a photoplethysmography (PPG) signal with a Red-Green-Blue (RGB) camera is known as remote photoplethysmography (rPPG). Studies have reported on the positive impact of using this technique, particularly in heart rate estimation, which has led to increased research on this topic among scientists. Therefore, converting from RGB signals to constructing an rPPG signal is an important step. Eight rPPG methods (plant-orthogonal-to-skin (POS), local group invariance (LGI), the chrominance-based method (CHROM), orthogonal matrix image transformation (OMIT), GREEN, independent component analysis (ICA), principal component analysis (PCA), and blood volume pulse (PBV) methods) were assessed using dynamic time warping, power spectrum analysis, and Pearson's correlation coefficient, with different activities (at rest, during exercising in the gym, during talking, and while head rotating) and four regions of interest (ROI): the forehead, the left cheek, the right cheek, and a combination of all three ROIs. The best performing rPPG methods in all categories were the POS, LGI, and OMI methods; each performed well in all activities. Recommendations for future work are provided.
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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.