Evaluation of measurement accuracy of wearable devices for heart rate variability

被引:3
|
作者
Li, Xiangchen [1 ]
Song, Yuting [2 ]
Wang, Huang [1 ]
Su, Xinyu [3 ]
Wang, Mengyao [4 ]
Li, Jing [5 ,7 ]
Ren, Zhiqiang [6 ]
Zhong, Daidi [5 ]
Huang, Zhiyong [4 ]
机构
[1] China Inst Sport Sci, Beijing 100061, Peoples R China
[2] Qingdao Univ, Sch Nursing, Qingdao 266021, Peoples R China
[3] Beijing Sport Univ, Sch Sport Sci, Beijing 100084, Peoples R China
[4] Chongqing Univ, Sch Microelect & Commun Engn, Chongqing 400044, Peoples R China
[5] Chongqing Univ, Bioengn Coll, Chongqing 400044, Peoples R China
[6] Natl Sports Technol Innovat Ctr Beijing Co Ltd, Beijing 100061, Peoples R China
[7] Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518063, Peoples R China
关键词
PANIC DISORDER; RISK; ASSOCIATION; DEPRESSION; ANXIETY; INFANT;
D O I
10.1016/j.isci.2023.108128
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
This paper proposed a method based on heart rate variability (HRV) for evaluating the accuracy of wearable devices in measuring heart rate. HRV refers to the variation in time intervals between successive heartbeats, widely used in many fields such as clinical and sports fields. Wearable devices such as Electrocardiogram (ECG) electrode patches have gained popularity due to their portability and ease of use. However, they can be prone to measurement interference caused by environmental noise, human respiration, etc. The proposed method consists of four main components: selection of "gold standard measurement devices", identification of HRV measurement metrics, construction of an HRV evaluation framework, and quantification of measurement errors. The method is validated through simulated experiments using ECG patches. The evaluation framework and quantification model established in this method have significant implications in establishment of industry standards and diagnosis of diseases in clinical practice.
引用
收藏
页数:15
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