Evaluation of measurement accuracy of wearable devices for heart rate variability

Xiangchen Li; Yuting Song; Huang Wang; Xinyu Su; Mengyao Wang; Jing Li; Zhiqiang Ren; Daidi Zhong; Zhiyong Huang

doi:10.1016/j.isci.2023.108128

Evaluation of measurement accuracy of wearable devices for heart rate variability

iScience. 2023 Oct 4;26(11):108128. doi: 10.1016/j.isci.2023.108128. eCollection 2023 Nov 17.

Authors

Xiangchen Li¹, Yuting Song², Huang Wang¹, Xinyu Su³, Mengyao Wang⁴, Jing Li^{5

6}, Zhiqiang Ren⁷, Daidi Zhong⁵, Zhiyong Huang⁴

Affiliations

¹ China Institute of Sport Science, Beijing 100061, China.
² School of Nursing, Qingdao University, Qingdao 266021, China.
³ School of Sport Science, Beijing Sport University, Beijing 100084, China.
⁴ School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, China.
⁵ Bioengineering College, Chongqing University, Chongqing 400044, China.
⁶ Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518063, China.
⁷ National Sports Technology Innovation Center Beijing Co., Ltd. Beijing 100061, China.

Abstract

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.

Keywords: Biological sciences; Materials science; Physics.