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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

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-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 languageEnglish
Title of host publication2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-7
ISBN (Electronic)9781665470957
DOIs
Publication statusPublished - 2022
Event2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering - Male, Maldives
Duration: 16 Nov 202218 Nov 2022
https://www.aconf.org/conf_182112.2022_International_Conference_on_Electrical,_Computer,_Communications_and_Mechatronics_Engineering.html

Publication series

NameInternational Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2022

Conference

Conference2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering
Abbreviated titleICECCME 2022
Country/TerritoryMaldives
CityMale
Period16/11/2218/11/22
Internet address

UN SDGs

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

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords*

  • electroencephalography
  • image processing
  • machine learning
  • medical care
  • thermography

Field of Science*

  • 2.6 Medical engineering
  • 2.3 Mechanical 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

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