Application of Image Processing and Machine Learning Technologies for Home Care Bed

2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME 2022) 2022
Artjoms Supoņenkovs, Matiss Lacis, Zigurds Markovičs, Mihails Kovaļovs, Ardis Platkājis, Andrejs Kalniņš

The problem of analysing a bed bound patient (that is, a patient who is confined to their bed) is a relevant factor in whether or not they will receive timely medical care. This paper aims to investigate the challenges and possible solutions to such problems. It describes an approach and methods for such analysis, as well as for home care bed control. This paper also addresses the challenges of Image Processing and Machine Learning. The experimental part describes important aspects regarding analysing brain activity, facial expression, blood flow, and human body pose. These experimental results and the proposed approach based upon them can be helpful for ensuring timely medical care. In addition, the results of this work can be useful for home care bed development.

Atslēgas vārdi
Brain , Mechatronics , Image processing , Face recognition , Estimation , Medical services , Machine learning
DOI
10.1109/ICECCME55909.2022.9988273
Hipersaite
https://ieeexplore.ieee.org/document/9988273

Supoņenkovs, A., Lacis, M., Markovičs, Z., Kovaļovs, M., Platkājis, A., Kalniņš, A. Application of Image Processing and Machine Learning Technologies for Home Care Bed. No: 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME 2022), Maldīvija, Maldives, 16.-18. novembris, 2022. Piscataway: IEEE, 2022, 1.-7.lpp. ISBN 978-1-6654-7095-7. e-ISBN 978-1-6654-7096-4. Pieejams: doi:10.1109/ICECCME55909.2022.9988273

Publikācijas valoda
English (en)