File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Personal wearable devices to measure heart rate variability: A framework of cloud platform for public health research

TitlePersonal wearable devices to measure heart rate variability: A framework of cloud platform for public health research
Authors
KeywordsHeart rate variability
Wearable devices
Cloud platform
Issue Date2017
Citation
7th International Conference on Digital Health (DH '17), London, UK, 2-5 July 2017. In ACM International Conference Proceeding Series, 2017, v. Part F128634, p. 207-208 How to Cite?
Abstract© 2017 Copyright is held by the owner/author(s). Background: Heart rate variability (HRV) refers to the variation in time interval between heart rates (RR-interval). Studies have demonstrated that emotional disorder is associated with lower HRV. Electrocardiography (ECG) is the conventional HRV measurement conducted by healthcare professionals. Wearable devices with HRV measurement function may be a convenient and low-cost alternative. This study aimed to evaluate the HRV results between a wearable device and ECG. Methods: Parents from disadvantaged families were recruited and requested to wear the wearable device, second generation of Microsoft Band (MS band), on their non-dominant hand and a 7-lead ECG simultaneously for 10 minutes. Mean RR-interval was used to measure the level of HRV; subject with mean RR-interval greater than 750ms was defined as normal. Sensitivity and specificity was used to quantify the consistence between the MS band and the ECG. Results: A total of 40 subjects were recruited. The mean RR-interval of ECG measurements ranged from 487.87 to 1076.5; 9 of them had abnormal RR-interval. The sensitivity and specificity of the MS band were 88.89% and 77.42% respectively. Conclusion: This study showed that wearable device was a reliable instrument for HRV measurement in static posture. Further investigations should look into the accuracy during motion.
Persistent Identifierhttp://hdl.handle.net/10722/246840
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorTsoi, Kelvin K.F.-
dc.contributor.authorWong, Janet Y.H.-
dc.contributor.authorWong, Michael P.F.-
dc.contributor.authorLeung, Gary K.S.-
dc.contributor.authorBat, Baker K.K.-
dc.contributor.authorChan, Felix C.H.-
dc.contributor.authorKuo, Yong Hong-
dc.contributor.authorLo, Herman H.M.-
dc.contributor.authorMeng, Helen M.L.-
dc.date.accessioned2017-09-26T04:28:08Z-
dc.date.available2017-09-26T04:28:08Z-
dc.date.issued2017-
dc.identifier.citation7th International Conference on Digital Health (DH '17), London, UK, 2-5 July 2017. In ACM International Conference Proceeding Series, 2017, v. Part F128634, p. 207-208-
dc.identifier.urihttp://hdl.handle.net/10722/246840-
dc.description.abstract© 2017 Copyright is held by the owner/author(s). Background: Heart rate variability (HRV) refers to the variation in time interval between heart rates (RR-interval). Studies have demonstrated that emotional disorder is associated with lower HRV. Electrocardiography (ECG) is the conventional HRV measurement conducted by healthcare professionals. Wearable devices with HRV measurement function may be a convenient and low-cost alternative. This study aimed to evaluate the HRV results between a wearable device and ECG. Methods: Parents from disadvantaged families were recruited and requested to wear the wearable device, second generation of Microsoft Band (MS band), on their non-dominant hand and a 7-lead ECG simultaneously for 10 minutes. Mean RR-interval was used to measure the level of HRV; subject with mean RR-interval greater than 750ms was defined as normal. Sensitivity and specificity was used to quantify the consistence between the MS band and the ECG. Results: A total of 40 subjects were recruited. The mean RR-interval of ECG measurements ranged from 487.87 to 1076.5; 9 of them had abnormal RR-interval. The sensitivity and specificity of the MS band were 88.89% and 77.42% respectively. Conclusion: This study showed that wearable device was a reliable instrument for HRV measurement in static posture. Further investigations should look into the accuracy during motion.-
dc.languageeng-
dc.relation.ispartofACM International Conference Proceeding Series-
dc.subjectHeart rate variability-
dc.subjectWearable devices-
dc.subjectCloud platform-
dc.titlePersonal wearable devices to measure heart rate variability: A framework of cloud platform for public health research-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1145/3079452.3079453-
dc.identifier.scopuseid_2-s2.0-85025429196-
dc.identifier.hkuros276925-
dc.identifier.volumePart F128634-
dc.identifier.spage207-
dc.identifier.epage208-
dc.identifier.isiWOS:000850447100033-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats