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Mobile Robotic Platform for Contactless Vital Sign Monitoring

Authors :
Hen-Wei Huang
Jack Chen
Peter R. Chai
Claas Ehmke
Philipp Rupp
Farah Z. Dadabhoy
Annie Feng
Canchen Li
Akhil J. Thomas
Marco da Silva
Edward W. Boyer
Giovanni Traverso
Source :
Cyborg and Bionic Systems, Vol 2022 (2022)
Publication Year :
2022
Publisher :
American Association for the Advancement of Science (AAAS), 2022.

Abstract

The COVID-19 pandemic has accelerated methods to facilitate contactless evaluation of patients in hospital settings. By minimizing in-person contact with individuals who may have COVID-19, healthcare workers can prevent disease transmission and conserve personal protective equipment. Obtaining vital signs is a ubiquitous task that is commonly done in person by healthcare workers. To eliminate the need for in-person contact for vital sign measurement in the hospital setting, we developed Dr. Spot, a mobile quadruped robotic system. The system includes IR and RGB cameras for vital sign monitoring and a tablet computer for face-to-face medical interviewing. Dr. Spot is teleoperated by trained clinical staff to simultaneously measure the skin temperature, respiratory rate, and heart rate while maintaining social distancing from patients and without removing their mask. To enable accurate, contactless measurements on a mobile system without a static black body as reference, we propose novel methods for skin temperature compensation and respiratory rate measurement at various distances between the subject and the cameras, up to 5 m. Without compensation, the skin temperature MAE is 1.3°C. Using the proposed compensation method, the skin temperature MAE is reduced to 0.3°C. The respiratory rate method can provide continuous monitoring with a MAE of 1.6 BPM in 30 s or rapid screening with a MAE of 2.1 BPM in 10 s. For the heart rate estimation, our system is able to achieve a MAE less than 8 BPM in 10 s measured in arbitrary indoor light conditions at any distance below 2 m.

Subjects

Subjects :
Cybernetics
Q300-390

Details

Language :
English
ISSN :
26927632
Volume :
2022
Database :
Directory of Open Access Journals
Journal :
Cyborg and Bionic Systems
Publication Type :
Academic Journal
Accession number :
edsdoj.16d9276a65ca4f999343847c0a3d04e7
Document Type :
article
Full Text :
https://doi.org/10.34133/2022/9780497