TY - GEN
T1 - Application of Image Processing and Machine Learning Technologies for Home Care Bed
AU - Suponenkovs, Artjoms
AU - Lacis, Matiss
AU - Markovics, Zigurds
AU - Kovalovs, Mihails
AU - Platkajis, Ardis
AU - Kalnins, Andrejs
N1 - Funding Information:
ACKNOWLEDGMENT In accordance with the contract No. 1.2.1.1/18/A/005 between “ "PHARMACEUTICAL, BIOMEDICAL AND MEDICAL TECHNOLOGIES COMPETENCE CENTER" ” Ltd. and the Central Finance and Contracting Agency, the study is conducted by “Peruza” Ltd. with support from the European Regional Development Fund (ERDF) within the framework of the project "PHARMACEUTICAL, BIOMEDICAL AND MEDICAL TECHNOLOGIES COMPETENCE CENTER.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - electroencephalography
KW - image processing
KW - machine learning
KW - medical care
KW - thermography
UR - http://www.scopus.com/inward/record.url?scp=85146432950&partnerID=8YFLogxK
U2 - 10.1109/ICECCME55909.2022.9988273
DO - 10.1109/ICECCME55909.2022.9988273
M3 - Conference contribution
AN - SCOPUS:85146432950
T3 - International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2022
SP - 1
EP - 7
BT - 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2022
Y2 - 16 November 2022 through 18 November 2022
ER -
