测量心率变异性的个人可穿戴设备:公共卫生研究云平台框架

K. Tsoi, J. Y. Wong, Michael P. F. Wong, Gary K. S. Leung, Baker K. K. Bat, Felix C. H. Chan, Y. Kuo, Herman H. M. Lo, H. Meng
{"title":"测量心率变异性的个人可穿戴设备:公共卫生研究云平台框架","authors":"K. Tsoi, J. Y. Wong, Michael P. F. Wong, Gary K. S. Leung, Baker K. K. Bat, Felix C. H. Chan, Y. Kuo, Herman H. M. Lo, H. Meng","doi":"10.1145/3079452.3079453","DOIUrl":null,"url":null,"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.","PeriodicalId":245682,"journal":{"name":"Proceedings of the 2017 International Conference on Digital Health","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Personal Wearable Devices to Measure Heart Rate Variability: A Framework of Cloud Platform for Public Health Research\",\"authors\":\"K. Tsoi, J. Y. Wong, Michael P. F. Wong, Gary K. S. Leung, Baker K. K. Bat, Felix C. H. Chan, Y. Kuo, Herman H. M. Lo, H. Meng\",\"doi\":\"10.1145/3079452.3079453\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":245682,\"journal\":{\"name\":\"Proceedings of the 2017 International Conference on Digital Health\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2017 International Conference on Digital Health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3079452.3079453\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2017 International Conference on Digital Health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3079452.3079453","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

背景:心率变异性(HRV)是指心率之间的时间间隔(RR-interval)的变化。研究表明,情绪障碍与较低的心率波动有关。心电图(ECG)是由医疗保健专业人员进行的常规HRV测量。具有HRV测量功能的可穿戴设备可能是一种方便且低成本的替代方案。本研究旨在评估可穿戴设备与ECG之间的HRV结果。方法:招募贫困家庭家长,要求其非惯用手佩戴第二代微软手环(MS手环),同时进行7导联心电图检查10分钟。采用平均RR-interval测量HRV水平;平均rr间隔大于750ms为正常受试者。灵敏度和特异性用于量化MS波段与ECG之间的一致性。结果:共招募了40名受试者。心电图测量的平均rr区间为487.87 ~ 1076.5;其中9例rr间期异常。MS波段的灵敏度为88.89%,特异度为77.42%。结论:本研究表明可穿戴设备是一种可靠的静态位姿心率测量仪器。进一步的调查应该着眼于运动中的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Personal Wearable Devices to Measure Heart Rate Variability: A Framework of Cloud Platform for Public Health Research
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信