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

Artjoms Suponenkovs; Matiss Lacis; Zigurds Markovics; Mihails Kovalovs; Ardis Platkajis; Andrejs Kalnins

doi:10.1109/ICECCME55909.2022.9988273

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

Artjoms Suponenkovs (Corresponding Author), Matiss Lacis, Zigurds Markovics, Mihails Kovalovs, Ardis Platkajis, Andrejs Kalnins

Department of Radiology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-7
ISBN (Electronic)	9781665470957
DOIs	https://doi.org/10.1109/ICECCME55909.2022.9988273
Publication status	Published - 2022
Event	2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering - Male, Maldives Duration: 16 Nov 2022 → 18 Nov 2022 https://www.aconf.org/conf_182112.2022_International_Conference_on_Electrical,_Computer,_Communications_and_Mechatronics_Engineering.html

Publication series

Name	International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2022

Conference

Conference	2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering
Abbreviated title	ICECCME 2022
Country/Territory	Maldives
City	Male
Period	16/11/22 → 18/11/22
Internet address	https://www.aconf.org/conf_182112.2022_International_Conference_on_Electrical,_Computer,_Communications_and_Mechatronics_Engineering.html

Keywords*

electroencephalography
image processing
machine learning
medical care
thermography

Field of Science*

2.3 Mechanical engineering
2.6 Medical engineering
2.11 Other engineering and technologies

Publication Type*

3.1. Articles or chapters in proceedings/scientific books indexed in Web of Science and/or Scopus database

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ICECCME55909.2022.9988273

Cite this

Suponenkovs, A., Lacis, M., Markovics, Z., Kovalovs, M., Platkajis, A., & Kalnins, A. (2022). Application of Image Processing and Machine Learning Technologies for Home Care Bed. In 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME (pp. 1-7). (International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICECCME55909.2022.9988273

Suponenkovs, Artjoms ; Lacis, Matiss ; Markovics, Zigurds et al. / Application of Image Processing and Machine Learning Technologies for Home Care Bed. 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME . Institute of Electrical and Electronics Engineers Inc., 2022. pp. 1-7 (International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2022).

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title = "Application of Image Processing and Machine Learning Technologies for Home Care Bed",

abstract = "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.",

keywords = "electroencephalography, image processing, machine learning, medical care, thermography",

author = "Artjoms Suponenkovs and Matiss Lacis and Zigurds Markovics and Mihails Kovalovs and Ardis Platkajis and Andrejs Kalnins",

note = "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: {\textcopyright} 2022 IEEE.; 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2022 ; Conference date: 16-11-2022 Through 18-11-2022",

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Suponenkovs, A, Lacis, M, Markovics, Z, Kovalovs, M, Platkajis, A & Kalnins, A 2022, Application of Image Processing and Machine Learning Technologies for Home Care Bed. in 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME . International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2022, Institute of Electrical and Electronics Engineers Inc., pp. 1-7, 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering, Male, Maldives, 16/11/22. https://doi.org/10.1109/ICECCME55909.2022.9988273

Application of Image Processing and Machine Learning Technologies for Home Care Bed. / Suponenkovs, Artjoms (Corresponding Author); Lacis, Matiss; Markovics, Zigurds et al.
2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME . Institute of Electrical and Electronics Engineers Inc., 2022. p. 1-7 (International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

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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

Y2 - 16 November 2022 through 18 November 2022

ER -

Suponenkovs A, Lacis M, Markovics Z, Kovalovs M, Platkajis A, Kalnins A. Application of Image Processing and Machine Learning Technologies for Home Care Bed. In 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME . Institute of Electrical and Electronics Engineers Inc. 2022. p. 1-7. (International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2022). doi: 10.1109/ICECCME55909.2022.9988273

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

Abstract

Publication series

Conference

Keywords*

Field of Science*

Publication Type*

UN SDGs

Access to Document

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