Cargando…

A Medical Assistive Robot for Telehealth Care During the COVID-19 Pandemic: Development and Usability Study in an Isolation Ward

BACKGROUND: The COVID-19 pandemic is affecting the mental and emotional well-being of patients, family members, and health care workers. Patients in the isolation ward may have psychological problems due to long-term hospitalization, the development of the epidemic, and the inability to see their fa...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Ruohan, Lv, Honghao, Lu, Zhangli, Huang, Xiaoyan, Wu, Haiteng, Xiong, Junjie, Yang, Geng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131661/
https://www.ncbi.nlm.nih.gov/pubmed/36634269
http://dx.doi.org/10.2196/42870
_version_ 1785031224290443264
author Wang, Ruohan
Lv, Honghao
Lu, Zhangli
Huang, Xiaoyan
Wu, Haiteng
Xiong, Junjie
Yang, Geng
author_facet Wang, Ruohan
Lv, Honghao
Lu, Zhangli
Huang, Xiaoyan
Wu, Haiteng
Xiong, Junjie
Yang, Geng
author_sort Wang, Ruohan
collection PubMed
description BACKGROUND: The COVID-19 pandemic is affecting the mental and emotional well-being of patients, family members, and health care workers. Patients in the isolation ward may have psychological problems due to long-term hospitalization, the development of the epidemic, and the inability to see their families. A medical assistive robot (MAR), acting as an intermediary of communication, can be deployed to address these mental pressures. OBJECTIVE: CareDo, a MAR with telepresence and teleoperation functions, was developed in this work for remote health care. The aim of this study was to investigate its practical performance in the isolation ward during the pandemic. METHODS: Two systems were integrated into the CareDo robot. For the telepresence system, a web real-time communications solution is used for the multiuser chat system and a convolutional neural network is used for expression recognition. For the teleoperation system, an incremental motion mapping method is used for operating the robot remotely. A clinical trial of this system was conducted at First Affiliated Hospital, Zhejiang University. RESULTS: During the clinical trials, tasks such as video chatting, emotion detection, and medical supplies delivery were performed via the CareDo robot. Seven voice commands were set for performing system wakeup, video chatting, and system exiting. Durations from 1 to 3 seconds of common commands were set to improve voice command detection. The facial expression was recorded 152 times for a patient in 1 day for the psychological intervention. The recognition accuracy reached 95% and 92.8% for happy and neutral expressions, respectively. CONCLUSIONS: Patients and health care workers can use this MAR in the isolation ward for telehealth care during the COVID-19 pandemic. This can be a useful approach to break the chains of virus transmission and can also be an effective way to conduct remote psychological intervention.
format Online
Article
Text
id pubmed-10131661
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher JMIR Publications
record_format MEDLINE/PubMed
spelling pubmed-101316612023-04-27 A Medical Assistive Robot for Telehealth Care During the COVID-19 Pandemic: Development and Usability Study in an Isolation Ward Wang, Ruohan Lv, Honghao Lu, Zhangli Huang, Xiaoyan Wu, Haiteng Xiong, Junjie Yang, Geng JMIR Hum Factors Original Paper BACKGROUND: The COVID-19 pandemic is affecting the mental and emotional well-being of patients, family members, and health care workers. Patients in the isolation ward may have psychological problems due to long-term hospitalization, the development of the epidemic, and the inability to see their families. A medical assistive robot (MAR), acting as an intermediary of communication, can be deployed to address these mental pressures. OBJECTIVE: CareDo, a MAR with telepresence and teleoperation functions, was developed in this work for remote health care. The aim of this study was to investigate its practical performance in the isolation ward during the pandemic. METHODS: Two systems were integrated into the CareDo robot. For the telepresence system, a web real-time communications solution is used for the multiuser chat system and a convolutional neural network is used for expression recognition. For the teleoperation system, an incremental motion mapping method is used for operating the robot remotely. A clinical trial of this system was conducted at First Affiliated Hospital, Zhejiang University. RESULTS: During the clinical trials, tasks such as video chatting, emotion detection, and medical supplies delivery were performed via the CareDo robot. Seven voice commands were set for performing system wakeup, video chatting, and system exiting. Durations from 1 to 3 seconds of common commands were set to improve voice command detection. The facial expression was recorded 152 times for a patient in 1 day for the psychological intervention. The recognition accuracy reached 95% and 92.8% for happy and neutral expressions, respectively. CONCLUSIONS: Patients and health care workers can use this MAR in the isolation ward for telehealth care during the COVID-19 pandemic. This can be a useful approach to break the chains of virus transmission and can also be an effective way to conduct remote psychological intervention. JMIR Publications 2023-04-20 /pmc/articles/PMC10131661/ /pubmed/36634269 http://dx.doi.org/10.2196/42870 Text en ©Ruohan Wang, Honghao Lv, Zhangli Lu, Xiaoyan Huang, Haiteng Wu, Junjie Xiong, Geng Yang. Originally published in JMIR Human Factors (https://humanfactors.jmir.org), 20.04.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Human Factors, is properly cited. The complete bibliographic information, a link to the original publication on https://humanfactors.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Wang, Ruohan
Lv, Honghao
Lu, Zhangli
Huang, Xiaoyan
Wu, Haiteng
Xiong, Junjie
Yang, Geng
A Medical Assistive Robot for Telehealth Care During the COVID-19 Pandemic: Development and Usability Study in an Isolation Ward
title A Medical Assistive Robot for Telehealth Care During the COVID-19 Pandemic: Development and Usability Study in an Isolation Ward
title_full A Medical Assistive Robot for Telehealth Care During the COVID-19 Pandemic: Development and Usability Study in an Isolation Ward
title_fullStr A Medical Assistive Robot for Telehealth Care During the COVID-19 Pandemic: Development and Usability Study in an Isolation Ward
title_full_unstemmed A Medical Assistive Robot for Telehealth Care During the COVID-19 Pandemic: Development and Usability Study in an Isolation Ward
title_short A Medical Assistive Robot for Telehealth Care During the COVID-19 Pandemic: Development and Usability Study in an Isolation Ward
title_sort medical assistive robot for telehealth care during the covid-19 pandemic: development and usability study in an isolation ward
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131661/
https://www.ncbi.nlm.nih.gov/pubmed/36634269
http://dx.doi.org/10.2196/42870
work_keys_str_mv AT wangruohan amedicalassistiverobotfortelehealthcareduringthecovid19pandemicdevelopmentandusabilitystudyinanisolationward
AT lvhonghao amedicalassistiverobotfortelehealthcareduringthecovid19pandemicdevelopmentandusabilitystudyinanisolationward
AT luzhangli amedicalassistiverobotfortelehealthcareduringthecovid19pandemicdevelopmentandusabilitystudyinanisolationward
AT huangxiaoyan amedicalassistiverobotfortelehealthcareduringthecovid19pandemicdevelopmentandusabilitystudyinanisolationward
AT wuhaiteng amedicalassistiverobotfortelehealthcareduringthecovid19pandemicdevelopmentandusabilitystudyinanisolationward
AT xiongjunjie amedicalassistiverobotfortelehealthcareduringthecovid19pandemicdevelopmentandusabilitystudyinanisolationward
AT yanggeng amedicalassistiverobotfortelehealthcareduringthecovid19pandemicdevelopmentandusabilitystudyinanisolationward
AT wangruohan medicalassistiverobotfortelehealthcareduringthecovid19pandemicdevelopmentandusabilitystudyinanisolationward
AT lvhonghao medicalassistiverobotfortelehealthcareduringthecovid19pandemicdevelopmentandusabilitystudyinanisolationward
AT luzhangli medicalassistiverobotfortelehealthcareduringthecovid19pandemicdevelopmentandusabilitystudyinanisolationward
AT huangxiaoyan medicalassistiverobotfortelehealthcareduringthecovid19pandemicdevelopmentandusabilitystudyinanisolationward
AT wuhaiteng medicalassistiverobotfortelehealthcareduringthecovid19pandemicdevelopmentandusabilitystudyinanisolationward
AT xiongjunjie medicalassistiverobotfortelehealthcareduringthecovid19pandemicdevelopmentandusabilitystudyinanisolationward
AT yanggeng medicalassistiverobotfortelehealthcareduringthecovid19pandemicdevelopmentandusabilitystudyinanisolationward