標題: Methodological considerations in calculating heart rate variability based on wearable device heart rate samples
作者: Chen, Hung-Kai
Hu, Yu-Feng
Lin, Shien-Fong
交大名義發表
電機工程學系
National Chiao Tung University
Department of Electrical and Computer Engineering
關鍵字: Heart rate variability;Spectral analysis;Wearable device;Resampling rate
公開日期: 1-Nov-2018
摘要: Heart rate variability (HRV) analysis has recently been incorporated into wearable device application. The data source of HRV is the time series of heart beat intervals extracted from electrocardiogram or photoplethysmogram. These intervals are non-uniformly sampled signals and not suitable for spectral HRV analysis, which usually uses uniformly resampled heart beat intervals before calculating the spectral domain parameters. Such a practice is not applicable to heart rate data obtained from wearable devices that usually display and export the beat per minute (BPM) time series data at 1 Hz. The preferred resampling rate to calculate spectral domain parameters is 4 Hz. We compare the spectral HRV results with the 1 Hz and 4 Hz resampling rates in order to validate the use of 1 Hz resampled-RRI data to represent wearable devices BPM time series data for HRV analysis. Our results show that, using a specific combination of signal processing techniques, the lowest mean relative error in spectral domain parameters of normalized low-frequency power (LFnu), normalized high-frequency power (HFnu) and the ratio of normalized low-frequency power to normalized high-frequency power (LFnu/HFnu) between 1 Hz and 4 Hz are 3.7%, 15.3% and 16.4%, respectively. We conclude that using the heart rate data sampled at 1 Hz produces a reasonable estimation of sympathetic activity but a poor estimation of parasympathetic activity.
URI: http://dx.doi.org/10.1016/j.compbiomed.2018.08.023
http://hdl.handle.net/11536/148445
ISSN: 0010-4825
DOI: 10.1016/j.compbiomed.2018.08.023
期刊: COMPUTERS IN BIOLOGY AND MEDICINE
Volume: 102
起始頁: 396
結束頁: 401
Appears in Collections:Articles