z-logo
open-access-imgOpen Access
Mobile Robotic Platform for Contactless Vital Sign Monitoring
Author(s) -
HenWei Huang,
Jack Chen,
Peter R. Chai,
Claas Ehmke,
Philipp Rupp,
Farah Z. Dadabhoy,
Annie Feng,
Canchen Li,
Akhil John Thomas,
Marco J. da Silva,
Edward W. Boyer,
Giovanni Traverso
Publication year - 2022
Publication title -
cyborg and bionic systems
Language(s) - English
Resource type - Journals
eISSN - 2097-1087
pISSN - 2692-7632
DOI - 10.34133/2022/9780497
Subject(s) - vital signs , computer science , respiratory rate , compensation (psychology) , real time computing , simulation , heart rate , wearable computer , computer vision , artificial intelligence , embedded system , medicine , psychology , surgery , blood pressure , psychoanalysis , radiology
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom