Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44575, first published .
Dynamic Region of Interest Selection in Remote Photoplethysmography: Proof-of-Concept Study

Dynamic Region of Interest Selection in Remote Photoplethysmography: Proof-of-Concept Study

Dynamic Region of Interest Selection in Remote Photoplethysmography: Proof-of-Concept Study

Journals

  1. van Putten L, Bamford K, Veleslavov I, Wegerif S. From video to vital signs: using personal device cameras to measure pulse rate and predict blood pressure using explainable AI. Discover Applied Sciences 2024;6(4) View
  2. Saikevičius L, Raudonis V, Dervinis G, Baranauskas V. Non-Contact Vision-Based Techniques of Vital Sign Monitoring: Systematic Review. Sensors 2024;24(12):3963 View
  3. Xiang G, Ou Y, Li J, Wang L, Hu Y, Wang X, Wu X, Peng Y. Recovering Physiological Signals From Facial Videos: Recent Advances and Applications in Intelligent Vehicles. IEEE Transactions on Intelligent Vehicles 2024;9(10):6576 View

Conference Proceedings

  1. van Putten L, Bamford K. 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). Improving Systolic Blood Pressure Prediction from Remote Photoplethysmography Using a Stacked Ensemble Regressor View
  2. Susi A, Akila V, Govindasamy V. 2025 IEEE 1st International Conference on Smart and Sustainable Developments in Electrical Engineering (SSDEE). Examination of Signal-to-Noise Ratio in Remote Photoplethysmography Signal Extraction for Video Authenticity Detection View