Combining thermal imaging and machine learning to noninvasively characterize palm perfusion during local blood pressure changes-Reference-Cited by-同舟云学术

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

Published:2024-06 Issue: Volume:92 Page:106109
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Muller Ido^ORCID,Ovadia-Blechman Zehava^ORCID,Moyal Noam,Darchi Noa,Hoffer Oshrit^ORCID,Halak Moshe,Rabin Neta

Funder

Israel Science Foundation

Publisher

Elsevier BV

Reference31 articles.

1. Noninvasive evaluation of microcirculatory hemodynamic changes during hemorrhage followed by saline or blood transfusion;Ovadia;Shock (Augusta, Ga.),1995

2. Noninvasive monitoring of peripheral microcirculatory hemodynamics under varying degrees of hypoxia;Ovadia-Blechman;Respir. Physiol. Neurobiol.,2015

3. Infrared thermal imaging for detection of peripheral vascular disorders;Bagavathiappan;J. Med. Phys./Assoc. Med. Phys. India,2009

4. Quantitative thermal imaging;Ring;Clin. Phys. Physiol. Meas.,1990

5. Infrared thermal imaging in connective tissue diseases;Chojnowski;Reumatologia/Rheumatology,2017

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