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This workflow is comprised of five parts: video recording; light intensity detection; red, green, and blue color channels (RGB) to remote photoplethysmography (rPPG) signal conversion; HR estimation; and HR correction. The facial ROI refers to the region of interest for skin pixel intensity extraction. Four rPPG algorithms are included in this research: plane-orthogonal-to-skin (POS) , orthogonal matrix image transformation (OMIT) , the chrominance-based method (CHROM) , and local group invariance (LGI) . Icons were adapted from the Microsoft 365 non-copyrighted icon library.

Journal: NPJ Digital Medicine

Article Title: Adaptive physiology-informed correction for reliable remote photoplethysmography heart-rate monitoring

doi: 10.1038/s41746-026-02386-y

Figure Lengend Snippet: This workflow is comprised of five parts: video recording; light intensity detection; red, green, and blue color channels (RGB) to remote photoplethysmography (rPPG) signal conversion; HR estimation; and HR correction. The facial ROI refers to the region of interest for skin pixel intensity extraction. Four rPPG algorithms are included in this research: plane-orthogonal-to-skin (POS) , orthogonal matrix image transformation (OMIT) , the chrominance-based method (CHROM) , and local group invariance (LGI) . Icons were adapted from the Microsoft 365 non-copyrighted icon library.

Article Snippet: Above each facial video sequence, the subject code and MAE of HR estimation—averaged over the plane-orthogonal-to-skin (POS) , orthogonal matrix image transformation (OMIT) , chrominance-based (CHROM) , and local group invariance (LGI) algorithms–are presented.

Techniques: Extraction, Transformation Assay

a Exercising. b Rotation. c Talk. The estimated HR before and after correction, as well as the ground truth HR, are shown as blue, red, and black curves, respectively. The yellow polygon on the human face represents the glabella as the ROI. Above each facial video sequence, the subject code and MAE of HR estimation—averaged over the plane-orthogonal-to-skin (POS) , orthogonal matrix image transformation (OMIT) , chrominance-based (CHROM) , and local group invariance (LGI) algorithms–are presented. The video frames of the LGI-PPGI dataset are under the Creative Commons Attribution 4.0 License ( https://creativecommons.org/licenses/by/4.0/ ).

Journal: NPJ Digital Medicine

Article Title: Adaptive physiology-informed correction for reliable remote photoplethysmography heart-rate monitoring

doi: 10.1038/s41746-026-02386-y

Figure Lengend Snippet: a Exercising. b Rotation. c Talk. The estimated HR before and after correction, as well as the ground truth HR, are shown as blue, red, and black curves, respectively. The yellow polygon on the human face represents the glabella as the ROI. Above each facial video sequence, the subject code and MAE of HR estimation—averaged over the plane-orthogonal-to-skin (POS) , orthogonal matrix image transformation (OMIT) , chrominance-based (CHROM) , and local group invariance (LGI) algorithms–are presented. The video frames of the LGI-PPGI dataset are under the Creative Commons Attribution 4.0 License ( https://creativecommons.org/licenses/by/4.0/ ).

Article Snippet: Above each facial video sequence, the subject code and MAE of HR estimation—averaged over the plane-orthogonal-to-skin (POS) , orthogonal matrix image transformation (OMIT) , chrominance-based (CHROM) , and local group invariance (LGI) algorithms–are presented.

Techniques: Sequencing, Transformation Assay

a 6.3 lux. b 10.0 lux. c 15.8 lux. d 25.1 lux. The estimated HR before and after correction, as well as the ground truth HR, are shown as blue, red, and black curves, respectively. The yellow polygon on the human face represents the glabella as the ROI. Above each facial video sequence, the subject code and MAE of HR estimation–averaged over the plane-orthogonal-to-skin (POS) , orthogonal matrix image transformation (OMIT) , chrominance-based (CHROM) , and local group invariance (LGI) algorithms–are presented. The video frames of the BUAA-MIHR dataset are under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License ( https://creativecommons.org/licenses/by-nc-sa/4.0/ ).

Journal: NPJ Digital Medicine

Article Title: Adaptive physiology-informed correction for reliable remote photoplethysmography heart-rate monitoring

doi: 10.1038/s41746-026-02386-y

Figure Lengend Snippet: a 6.3 lux. b 10.0 lux. c 15.8 lux. d 25.1 lux. The estimated HR before and after correction, as well as the ground truth HR, are shown as blue, red, and black curves, respectively. The yellow polygon on the human face represents the glabella as the ROI. Above each facial video sequence, the subject code and MAE of HR estimation–averaged over the plane-orthogonal-to-skin (POS) , orthogonal matrix image transformation (OMIT) , chrominance-based (CHROM) , and local group invariance (LGI) algorithms–are presented. The video frames of the BUAA-MIHR dataset are under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License ( https://creativecommons.org/licenses/by-nc-sa/4.0/ ).

Article Snippet: Above each facial video sequence, the subject code and MAE of HR estimation—averaged over the plane-orthogonal-to-skin (POS) , orthogonal matrix image transformation (OMIT) , chrominance-based (CHROM) , and local group invariance (LGI) algorithms–are presented.

Techniques: Sequencing, Transformation Assay