TY - GEN
T1 - Smartphone-Based Blood Perfusion Assessment for Ulcer Care
AU - Li, Huining
AU - Zheng, Wenhan
AU - Pandya, Aditya
AU - Xu, Chenhan
AU - Xia, Jun
AU - Xu, Wenyao
N1 - Publisher Copyright:
© 2022 Owner/Author.
PY - 2023/1/24
Y1 - 2023/1/24
N2 - In this paper, we propose a transformative solution that uses a low-cost light sensor and commodity smartphone to support fast self-assessment of blood perfusion of ulcer regions in daily life. By harnessing the knowledge of light polarization, our system can "see-through"the skin to quantify the spatio-temporal properties of subdermal vasculature in terms of pulsation and hemoglobin. Our evaluation results show that our system can achieve 78.6% accuracy to detect poor and good blood perfusion.
AB - In this paper, we propose a transformative solution that uses a low-cost light sensor and commodity smartphone to support fast self-assessment of blood perfusion of ulcer regions in daily life. By harnessing the knowledge of light polarization, our system can "see-through"the skin to quantify the spatio-temporal properties of subdermal vasculature in terms of pulsation and hemoglobin. Our evaluation results show that our system can achieve 78.6% accuracy to detect poor and good blood perfusion.
UR - https://www.scopus.com/pages/publications/85147546511
U2 - 10.1145/3560905.3568090
DO - 10.1145/3560905.3568090
M3 - Conference contribution
AN - SCOPUS:85147546511
T3 - SenSys 2022 - Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems
SP - 843
EP - 844
BT - SenSys 2022 - Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems
PB - Association for Computing Machinery, Inc
T2 - 20th ACM Conference on Embedded Networked Sensor Systems, SenSys 2022
Y2 - 6 November 2022 through 9 November 2022
ER -