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dc.contributor.authorIrfan, Bahar
dc.contributor.authorGomez, NC
dc.contributor.authorCasas, J
dc.contributor.authorSenft, E
dc.contributor.authorGutierrez, LF
dc.contributor.authorRincon-Roncancio, M
dc.contributor.authorMunera, M
dc.contributor.authorBelpaeme, Tony
dc.contributor.authorCifuentes, CA
dc.date.accessioned2020-12-03T17:01:30Z
dc.date.available2020-12-03T17:01:30Z
dc.date.issued2020-08
dc.identifier.isbn9781728160757
dc.identifier.issn1944-9437
dc.identifier.issn1944-9437
dc.identifier.urihttp://hdl.handle.net/10026.1/16697
dc.descriptionNo embargo required.
dc.description.abstract

This paper presents a longitudinal case study of Robot Assisted Therapy for cardiac rehabilitation. The patient, who is a 60-year old male that suffered a myocardial infarction and received angioplasty surgery, successfully recovered after 35 sessions of rehabilitation with a social robot, lasting 18 weeks. The sessions took place directly at the clinic and relied on an exercise regime which was designed by the clinicians and delivered with the support of a social robot and a sensor suite. The robot monitored the patient's progress, and provided personalised encouragement and feedback. We discuss the recovery of the patient and illustrate how the use of a social robot, its sensory systems and its personalised interaction was instrumental to maintain engagement with the programme and to the patient's recovery. Of note is a critical event that was promptly detected by the robot, which allowed fast intervention measures to be taken by the medical staff for the referral of the patient for further surgery.

dc.format.extent124-130
dc.language.isoen
dc.publisherIEEE
dc.subjectAssistive Technology
dc.subjectHeart Disease
dc.subjectCardiovascular
dc.subjectRehabilitation
dc.subjectBehavioral and Social Science
dc.subjectBioengineering
dc.subject6.7 Physical
dc.subjectCardiovascular
dc.titleUsing a Personalised Socially Assistive Robot for Cardiac Rehabilitation: A Long-Term Case Study
dc.typeconference
dc.typeConference Proceeding
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000598571700019&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.date-start2020-08-31
plymouth.date-finish2020-09-04
plymouth.volume00
plymouth.conference-name2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
plymouth.publication-statusPublished
plymouth.journal2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
dc.identifier.doi10.1109/ro-man47096.2020.9223491
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Research Groups
plymouth.organisational-group/Plymouth/Research Groups/Marine Institute
plymouth.organisational-group/Plymouth/Users by role
dcterms.dateAccepted2020-06-27
dc.rights.embargodate2020-12-5
dc.identifier.eissn1944-9437
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.1109/ro-man47096.2020.9223491
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2020-08
rioxxterms.typeConference Paper/Proceeding/Abstract


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