Assistive Robots for Long COVID and ME/CFS Support: Challenges and Opportunities

被引:1
作者
Redfield, Signe [1 ]
Seto, Mae [2 ]
D'Amore, Nicholas [3 ]
机构
[1] Patient Led Res Collaborat, London, England
[2] Dalhousie Univ, Halifax, NS, Canada
[3] Robotistry Org, College Pk, MD USA
来源
2022 IEEE CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (CCECE) | 2022年
关键词
robot; long COVID;
D O I
10.1109/CCECE49351.2022.9918211
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Many people infected with COVID-19 have found that they still experience health effects months and even years afterward, with the pandemic representing one of the largest mass-disabling events in modern history, affecting people from all demographics. It is proposed here that modern robotics methods have the potential to substantially improve the quality of life for long COVID patients and to help them recover more quickly. This paper describes what long COVID is and what its symptoms are, presents requirements for robotic capabilities to assist patients, and considers patient feedback on the possible challenges associated with developing and implementing such a solution.
引用
收藏
页码:124 / 129
页数:6
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