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 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.
| Original language | English |
|---|---|
| Title of host publication | DH 2017 - Proceedings of the 2017 International Conference on Digital Health |
| Publisher | Association for Computing Machinery |
| Pages | 207-208 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781450352499 |
| DOIs | |
| Publication status | Published - 2 Jul 2017 |
| Event | 7th International Conference on Digital Health, DH 2017 - London, United Kingdom Duration: 2 Jul 2017 → 5 Jul 2017 |
Publication series
| Name | ACM International Conference Proceeding Series |
|---|---|
| Volume | Part F128634 |
Conference
| Conference | 7th International Conference on Digital Health, DH 2017 |
|---|---|
| Country/Territory | United Kingdom |
| City | London |
| Period | 2/07/17 → 5/07/17 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Keywords
- Cloud platform
- Heart rate variability
- Wearable devices
ASJC Scopus subject areas
- Software
- Human-Computer Interaction
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
Fingerprint
Dive into the research topics of 'Personal wearable devices to measure heart rate variability: A framework of cloud platform for public health research'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver