Combining thermal imaging and machine learning to noninvasively characterize palm perfusion during local blood pressure changes

• Published in: Biomedical signal processing and control Vol. 92; p. 106109
• Main Authors: Muller, Ido, Ovadia-Blechman, Zehava, Moyal, Noam, Darchi, Noa, Hoffer, Oshrit, Halak, Moshe, Rabin, Neta
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.06.2024
• Subjects: Bilateral effect; Blood perfusion; Hand elevation; Iterative regression; Laplacian pyramids; t-SNE; Thermal imaging; Thermo-anatomical segmentation; Hand elevation; Blood perfusion; Bilateral effect; Thermo-anatomical segmentation; t-SNE; Thermal imaging; Iterative regression; Laplacian pyramids

The use of non-contact and non-invasive tools for monitoring physical measurements has emerged over the last years. One such tool is thermal imaging, which can be executed by connecting a camera to a mobile phone. In previous studies, thermal imaging has been shown to successfully monitor changes in...