Perfusion assessment via local remote photoplethysmography (rPPG)
| العنوان: | Perfusion assessment via local remote photoplethysmography (rPPG) |
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| المؤلفون: | Benjamin Kossack, Eric Wisotzky, Peter Eisert, Sebastian P. Schraven, Brigitta Globke, Anna Hilsmann |
| المصدر: | CVPR Workshop 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) |
| بيانات النشر: | arXiv, 2022. |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Image and Video Processing, Machine Learning (cs.LG) |
| الوصف: | This paper presents an approach to assess the perfusion of visible human tissue from RGB video files. We propose metrics derived from remote photoplethysmography (rPPG) signals to detect whether a tissue is adequately supplied with blood. The perfusion analysis is done in three different scales, offering a flexible approach for different applications. We perform a plane-orthogonal-to-skin rPPG independently for locally defined regions of interest on each scale. From the extracted signals, we derive the signal-to-noise ratio, magnitude in the frequency domain, heart rate, perfusion index as well as correlation between specific rPPG signals in order to locally assess the perfusion of a specific region of human tissue. We show that locally resolved rPPG has a broad range of applications. As exemplary applications, we present results in intraoperative perfusion analysis and visualization during skin and organ transplantation as well as an application for liveliness assessment for the detection of presentation attacks to authentication systems. Comment: 10 pages, 6 figures, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops |
| ردمك: | 978-1-66548-739-9 |
| DOI: | 10.48550/arxiv.2208.13840 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7f07553fe77fa33baf8c7c796ee2eed |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....b7f07553fe77fa33baf8c7c796ee2eed |
| قاعدة البيانات: | OpenAIRE |
| ردمك: | 9781665487399 |
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| DOI: | 10.48550/arxiv.2208.13840 |