Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/76666
Title: Personal wearable devices to measure heart rate variability : a framework of cloud platform for public health research
Authors: Tsoi, KKF
Wong, JYH
Wong, MPF
Leung, GKS
Bat, BKK
Chan, FCH
Kuo, YH
Lo, HHM 
Meng, HML
Keywords: Cloud platform
Heart rate variability
Wearable devices
Issue Date: 2017
Publisher: Association for Computing Machinary
Source: ACM international conference proceeding series, 2017, pt. F128634, p. 207-208 How to cite?
Journal: ACM international conference proceeding series 
Abstract: 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 HRVMergeCell 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 1076.5MergeCell 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.
Description: 7th International Conference on Digital Health, DH 2017, 2 - 5 July 2017
URI: http://hdl.handle.net/10397/76666
ISBN: 9781450352499
DOI: 10.1145/3079452.3079453
Appears in Collections:Conference Paper

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