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Evaluation of measurement accuracy of wearable devices for heart rate variability

Authors :
Xiangchen Li
Yuting Song
Huang Wang
Xinyu Su
Mengyao Wang
Jing Li
Zhiqiang Ren
Daidi Zhong
Zhiyong Huang
Source :
iScience, Vol 26, Iss 11, Pp 108128- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Summary: 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.

Details

Language :
English
ISSN :
25890042
Volume :
26
Issue :
11
Database :
Directory of Open Access Journals
Journal :
iScience
Publication Type :
Academic Journal
Accession number :
edsdoj.94fb6778d5e47019fd205a2929e3f8e
Document Type :
article
Full Text :
https://doi.org/10.1016/j.isci.2023.108128