手指与手腕光电脉搏波信号:可穿戴式血压监测的意义

Wenlong Wu, Yun Zou, Chunlong Tu, Guosong Gao, Zhenru Chen
{"title":"手指与手腕光电脉搏波信号:可穿戴式血压监测的意义","authors":"Wenlong Wu, Yun Zou, Chunlong Tu, Guosong Gao, Zhenru Chen","doi":"10.1109/CAI54212.2023.00060","DOIUrl":null,"url":null,"abstract":"Blood pressure (BP) is a crucial indicator of cardiovascular health and provides essential information about the heart. Traditional cuff-based BP measurement with equipment like sphygmomanometers is uncomfortable and discontinued. Cuffless BP monitoring using photoplethysmography (PPG) signals has become an area of interest in the research community, particularly with the advent of wearables such as the Apple Watch and Xiaomi Band. While most wearable PPG signals are obtained from the wrist, the most widely used benchmark dataset, the MIMIC dataset, collects PPG signals from the finger. In this study, we collected PPG signals from both finger and wrist locations from 71 participants and compared their similarities and differences. Our results show that the quality of finger PPG signals is superior to that of wrist PPG signals. Additionally, transferring PPG signals from the finger to the wrist is more successful than transferring signals from the wrist to the finger. These findings make it possible to use the publicly available MIMIC dataset to predict BP from smartwatches. This study bridges the gap between academia and industry, and is an important step towards developing continuous BP monitoring for better management of cardiac health.","PeriodicalId":129324,"journal":{"name":"2023 IEEE Conference on Artificial Intelligence (CAI)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Finger Versus Wrist Photoplethysmography Signals: Implications for Wearable Blood Pressure Monitoring\",\"authors\":\"Wenlong Wu, Yun Zou, Chunlong Tu, Guosong Gao, Zhenru Chen\",\"doi\":\"10.1109/CAI54212.2023.00060\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Blood pressure (BP) is a crucial indicator of cardiovascular health and provides essential information about the heart. Traditional cuff-based BP measurement with equipment like sphygmomanometers is uncomfortable and discontinued. Cuffless BP monitoring using photoplethysmography (PPG) signals has become an area of interest in the research community, particularly with the advent of wearables such as the Apple Watch and Xiaomi Band. While most wearable PPG signals are obtained from the wrist, the most widely used benchmark dataset, the MIMIC dataset, collects PPG signals from the finger. In this study, we collected PPG signals from both finger and wrist locations from 71 participants and compared their similarities and differences. Our results show that the quality of finger PPG signals is superior to that of wrist PPG signals. Additionally, transferring PPG signals from the finger to the wrist is more successful than transferring signals from the wrist to the finger. These findings make it possible to use the publicly available MIMIC dataset to predict BP from smartwatches. This study bridges the gap between academia and industry, and is an important step towards developing continuous BP monitoring for better management of cardiac health.\",\"PeriodicalId\":129324,\"journal\":{\"name\":\"2023 IEEE Conference on Artificial Intelligence (CAI)\",\"volume\":\"69 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE Conference on Artificial Intelligence (CAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CAI54212.2023.00060\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE Conference on Artificial Intelligence (CAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAI54212.2023.00060","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

血压(BP)是心血管健康的重要指标,提供了关于心脏的重要信息。传统的基于袖带的血压测量设备,如血压计,是不舒服的,已经停产。利用光电体积脉搏波(PPG)信号进行无袖血压监测已成为研究界感兴趣的领域,尤其是随着苹果手表和小米手环等可穿戴设备的出现。虽然大多数可穿戴PPG信号是从手腕获得的,但最广泛使用的基准数据集MIMIC数据集从手指收集PPG信号。在这项研究中,我们收集了71名参与者手指和手腕位置的PPG信号,并比较了它们的异同。结果表明,手指PPG信号的质量优于手腕PPG信号。此外,将PPG信号从手指传递到手腕比将信号从手腕传递到手指更成功。这些发现使得利用公开可用的MIMIC数据集来预测智能手表的血压成为可能。这项研究弥合了学术界和工业界之间的差距,是朝着开发连续血压监测以更好地管理心脏健康迈出的重要一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Finger Versus Wrist Photoplethysmography Signals: Implications for Wearable Blood Pressure Monitoring
Blood pressure (BP) is a crucial indicator of cardiovascular health and provides essential information about the heart. Traditional cuff-based BP measurement with equipment like sphygmomanometers is uncomfortable and discontinued. Cuffless BP monitoring using photoplethysmography (PPG) signals has become an area of interest in the research community, particularly with the advent of wearables such as the Apple Watch and Xiaomi Band. While most wearable PPG signals are obtained from the wrist, the most widely used benchmark dataset, the MIMIC dataset, collects PPG signals from the finger. In this study, we collected PPG signals from both finger and wrist locations from 71 participants and compared their similarities and differences. Our results show that the quality of finger PPG signals is superior to that of wrist PPG signals. Additionally, transferring PPG signals from the finger to the wrist is more successful than transferring signals from the wrist to the finger. These findings make it possible to use the publicly available MIMIC dataset to predict BP from smartwatches. This study bridges the gap between academia and industry, and is an important step towards developing continuous BP monitoring for better management of cardiac 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
×
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:604180095
Book学术官方微信