海报:医疗级数据流可穿戴设备的心率性能

Tendai Rukasha, Sandra I. Woolley, Tim Collins
{"title":"海报:医疗级数据流可穿戴设备的心率性能","authors":"Tendai Rukasha, Sandra I. Woolley, Tim Collins","doi":"10.1145/3384420.3431776","DOIUrl":null,"url":null,"abstract":"Wrist-worn devices afford convenient and unobtrusive heart rate sensing, however, motion artifacts can lead to unreliable data recordings. This paper evaluates heart rate estimates acquired during treadmill walking and 12 hours of everyday living from a medical-grade Empatica E4 data streaming wristband wearable compared to a Polar H10 chest strap ECG sensor. For treadmill walking, heart rate Mean Absolute Percentage Errors (MAPEs) were between 7.2% and 29.2%, and IntraClass Correlations (ICCs) between 0.6 and −0.5, indicating moderate agreement and strong disagreement, respectively. During 12-hour everyday living acquisitions, heart rate estimate MAPEs were between 5.3% and 13.5% and ICCs between 0.7 and 0.1, indicating good to poor agreements. CCS CONCEPTS • Applied computing → Consumer health.","PeriodicalId":193143,"journal":{"name":"2020 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Poster: Heart Rate Performance of a Medical-Grade Data Streaming Wearable Device\",\"authors\":\"Tendai Rukasha, Sandra I. Woolley, Tim Collins\",\"doi\":\"10.1145/3384420.3431776\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wrist-worn devices afford convenient and unobtrusive heart rate sensing, however, motion artifacts can lead to unreliable data recordings. This paper evaluates heart rate estimates acquired during treadmill walking and 12 hours of everyday living from a medical-grade Empatica E4 data streaming wristband wearable compared to a Polar H10 chest strap ECG sensor. For treadmill walking, heart rate Mean Absolute Percentage Errors (MAPEs) were between 7.2% and 29.2%, and IntraClass Correlations (ICCs) between 0.6 and −0.5, indicating moderate agreement and strong disagreement, respectively. During 12-hour everyday living acquisitions, heart rate estimate MAPEs were between 5.3% and 13.5% and ICCs between 0.7 and 0.1, indicating good to poor agreements. CCS CONCEPTS • Applied computing → Consumer health.\",\"PeriodicalId\":193143,\"journal\":{\"name\":\"2020 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3384420.3431776\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3384420.3431776","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

腕带设备提供方便和不显眼的心率传感,然而,运动伪影可能导致不可靠的数据记录。本文评估了在跑步机行走和日常生活12小时期间从可穿戴医疗级Empatica E4数据流腕带获得的心率估计值,并将其与Polar H10胸带ECG传感器进行了比较。对于跑步机步行,心率平均绝对百分比误差(mape)在7.2%至29.2%之间,类内相关性(ICCs)在0.6至- 0.5之间,分别表明中度一致和强烈不一致。在12小时的日常生活采集中,心率估计值mape在5.3%至13.5%之间,ICCs在0.7至0.1之间,表明一致性好与差。CCS概念•应用计算→消费者健康。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Poster: Heart Rate Performance of a Medical-Grade Data Streaming Wearable Device
Wrist-worn devices afford convenient and unobtrusive heart rate sensing, however, motion artifacts can lead to unreliable data recordings. This paper evaluates heart rate estimates acquired during treadmill walking and 12 hours of everyday living from a medical-grade Empatica E4 data streaming wristband wearable compared to a Polar H10 chest strap ECG sensor. For treadmill walking, heart rate Mean Absolute Percentage Errors (MAPEs) were between 7.2% and 29.2%, and IntraClass Correlations (ICCs) between 0.6 and −0.5, indicating moderate agreement and strong disagreement, respectively. During 12-hour everyday living acquisitions, heart rate estimate MAPEs were between 5.3% and 13.5% and ICCs between 0.7 and 0.1, indicating good to poor agreements. CCS CONCEPTS • Applied computing → Consumer health.
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
期刊最新文献
Poster: Mobile Health for Alcohol Recovery and Relapse Prevention Poster: Centralized vs. Decentralized Contact Tracing: Do GDP and Democracy Index Influence Privacy Choices? Remote Rehabilitation: A Field-Based Feasibility Study of an mHealth Resistance Exercise Band Poster: Heart Rate Performance of a Medical-Grade Data Streaming Wearable Device Poster: Vggish Embeddings Based Audio Classifiers to Improve Parkinson's Disease Diagnosis
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1