Development of Remote Patient Monitoring System for Patients with COVID-19 Infection Based on the predictive Algorithms

  • Sumi Sung
  • , Ye Seul Bae
  • , Youlim Kim
  • , Jungkyun Woo
  • , Eui Kyu Chie

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Remote Patient Monitoring (RPM) system for patients with COVID-19 infection was developed based on predictive algorithms to assess infection progression risk and mental health status. The system includes a mobile application for patients with COVID-19 infection and monitoring software for physicians. The system can be linked to work with multiple wearable devices and is capable of monitoring the physiological and lifelogs data, deploying and collecting the health status questionnaire, and providing contactless consultations.

Original languageEnglish
Title of host publicationProceedings - 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023
EditorsXingpeng Jiang, Haiying Wang, Reda Alhajj, Xiaohua Hu, Felix Engel, Mufti Mahmud, Nadia Pisanti, Xuefeng Cui, Hong Song
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4955-4956
Number of pages2
ISBN (Electronic)9798350337488
DOIs
StatePublished - 2023
Externally publishedYes
Event2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023 - Istanbul, Turkey
Duration: 5 Dec 20238 Dec 2023

Publication series

NameProceedings - 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023

Conference

Conference2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023
Country/TerritoryTurkey
CityIstanbul
Period5/12/238/12/23

Keywords

  • AI algorithms
  • COVID-19
  • health data
  • remote patient monitoring
  • System development

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