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dc.contributor.authorHuang, Hen-Wei
dc.contributor.authorChen, Jack
dc.contributor.authorChai, Peter R.
dc.contributor.authorEhmke, Claas
dc.contributor.authorRupp, Philipp
dc.contributor.authorDadabhoy, Farah Z.
dc.contributor.authorFeng, Annie
dc.contributor.authorLi, Canchen
dc.contributor.authorThomas, Akhil J.
dc.contributor.authorda Silva, Marco
dc.contributor.authorBoyer, Edward W.
dc.contributor.authorTraverso, Giovanni
dc.date.accessioned2024-05-23T19:40:40Z
dc.date.available2024-05-23T19:40:40Z
dc.date.issued2022-01
dc.identifier.issn2692-7632
dc.identifier.urihttps://hdl.handle.net/1721.1/155047
dc.description.abstractThe 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.en_US
dc.language.isoen
dc.publisherAmerican Association for the Advancement of Scienceen_US
dc.relation.isversionof10.34133/2022/9780497en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceAmerican Association for the Advancement of Scienceen_US
dc.titleMobile Robotic Platform for Contactless Vital Sign Monitoringen_US
dc.typeArticleen_US
dc.identifier.citationHen-Wei Huang, Jack Chen, Peter R. Chai, Claas Ehmke, Philipp Rupp, Farah Z. Dadabhoy, Annie Feng, Canchen Li, Akhil J. Thomas, Marco da Silva, et al. Mobile Robotic Platform for Contactless Vital Sign Monitoring. Cyborg Bionic Syst. 2022.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineering
dc.contributor.departmentKoch Institute for Integrative Cancer Research at MIT
dc.relation.journalCyborg and Bionic Systemsen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2024-05-23T19:36:04Z
dspace.orderedauthorsHuang, H-W; Chen, J; Chai, PR; Ehmke, C; Rupp, P; Dadabhoy, FZ; Feng, A; Li, C; Thomas, AJ; da Silva, M; Boyer, EW; Traverso, Gen_US
dspace.date.submission2024-05-23T19:36:06Z
mit.journal.volume2022en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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