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- Publisher Website: 10.1145/3079452.3079453
- Scopus: eid_2-s2.0-85025429196
- WOS: WOS:000850447100033
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Conference Paper: Personal wearable devices to measure heart rate variability: A framework of cloud platform for public health research
Title | Personal wearable devices to measure heart rate variability: A framework of cloud platform for public health research |
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Authors | |
Keywords | Heart rate variability Wearable devices Cloud platform |
Issue Date | 2017 |
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 Identifier | http://hdl.handle.net/10722/246840 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Tsoi, Kelvin K.F. | - |
dc.contributor.author | Wong, Janet Y.H. | - |
dc.contributor.author | Wong, Michael P.F. | - |
dc.contributor.author | Leung, Gary K.S. | - |
dc.contributor.author | Bat, Baker K.K. | - |
dc.contributor.author | Chan, Felix C.H. | - |
dc.contributor.author | Kuo, Yong Hong | - |
dc.contributor.author | Lo, Herman H.M. | - |
dc.contributor.author | Meng, Helen M.L. | - |
dc.date.accessioned | 2017-09-26T04:28:08Z | - |
dc.date.available | 2017-09-26T04:28:08Z | - |
dc.date.issued | 2017 | - |
dc.identifier.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 | - |
dc.identifier.uri | http://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.language | eng | - |
dc.relation.ispartof | ACM International Conference Proceeding Series | - |
dc.subject | Heart rate variability | - |
dc.subject | Wearable devices | - |
dc.subject | Cloud platform | - |
dc.title | Personal wearable devices to measure heart rate variability: A framework of cloud platform for public health research | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1145/3079452.3079453 | - |
dc.identifier.scopus | eid_2-s2.0-85025429196 | - |
dc.identifier.hkuros | 276925 | - |
dc.identifier.volume | Part F128634 | - |
dc.identifier.spage | 207 | - |
dc.identifier.epage | 208 | - |
dc.identifier.isi | WOS:000850447100033 | - |