Measurement and Data Transmission Validity of a Multi-Biosensor System for Real-Time Remote Exercise Monitoring Among Cardiac Patients

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dc.contributor.author Rawstorn, Jonathan en
dc.contributor.author Gant, Nicholas en
dc.contributor.author Warren, Ian en
dc.contributor.author Doughty, Robert en
dc.contributor.author Lever, Nigel en
dc.contributor.author Poppe, Katrina en
dc.contributor.author Maddison, Ralph en
dc.date.accessioned 2015-07-01T04:57:37Z en
dc.date.issued 2015 en
dc.identifier.citation JMIR Rehabilitation and Assistive Technologies, 2015, 2(1):e2 en
dc.identifier.issn 1439-4456 en
dc.identifier.uri http://hdl.handle.net/2292/26104 en
dc.description.abstract Background: Remote telemonitoring holds great potential to augment management of patients with coronary heart disease (CHD) and atrial fibrillation (AF) by enabling regular physiological monitoring during physical activity. Remote physiological monitoring may improve home and community exercise-based cardiac rehabilitation (exCR) programs and could improve assessment of the impact and management of pharmacological interventions for heart rate control in individuals with AF. Objective: Our aim was to evaluate the measurement validity and data transmission reliability of a remote telemonitoring system comprising a wireless multi-parameter physiological sensor, custom mobile app, and middleware platform, among individuals in sinus rhythm and AF. Methods: Participants in sinus rhythm and with AF undertook simulated daily activities, low, moderate, and/or high intensity exercise. Remote monitoring system heart rate and respiratory rate were compared to reference measures (12-lead ECG and indirect calorimeter). Wireless data transmission loss was calculated between the sensor, mobile app, and remote Internet server. Results: Median heart rate (-0.30 to 1.10 b∙min-1) and respiratory rate (-1.25 to 0.39 br∙min-1) measurement biases were small, yet statistically significant (all P≤.003) due to the large number of observations. Measurement reliability was generally excellent (rho=.87-.97, all P<.001; intraclass correlation coefficient [ICC]=.94-.98, all P<.001; coefficient of variation [CV]=2.24-7.94%), although respiratory rate measurement reliability was poor among AF participants (rho=.43, P<.001; ICC=.55, P<.001; CV=16.61%). Data loss was minimal (<5%) when all system components were active; however, instability of the network hosting the remote data capture server resulted in data loss at the remote Internet server during some trials. Conclusions: System validity was sufficient for remote monitoring of heart and respiratory rates across a range of exercise intensities. Remote exercise monitoring has potential to augment current exCR and heart rate control management approaches by enabling the provision of individually tailored care to individuals outside traditional clinical environments. en
dc.relation.ispartofseries JMIR Rehabilitation and Assistive Technologies en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.rights.uri http://creativecommons.org/licenses/by/2.0/ en
dc.title Measurement and Data Transmission Validity of a Multi-Biosensor System for Real-Time Remote Exercise Monitoring Among Cardiac Patients en
dc.type Journal Article en
dc.identifier.doi 10.2196/rehab.3633 en
pubs.issue 1 en
pubs.volume 2 en
dc.description.version VoR - Version of Record en
dc.identifier.pmid 28582235 en
pubs.author-url http://rehab.jmir.org/2015/1/e2/ en
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en
pubs.subtype Article en
pubs.elements-id 479379 en
pubs.org-id Medical and Health Sciences en
pubs.org-id Population Health en
pubs.org-id Epidemiology & Biostatistics en
pubs.org-id Pacific Health en
pubs.org-id School of Medicine en
pubs.org-id Medicine Department en
pubs.org-id Science en
pubs.org-id Exercise Sciences en
pubs.org-id School of Computer Science en
dc.identifier.eissn 1438-8871 en
pubs.number e2 en
pubs.record-created-at-source-date 2015-03-31 en
pubs.dimensions-id 28582235 en


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