Paper Info
Title
Statistical Analysis of the Consistency of HRV Analysis Using BCG or Pulse Wave Signals
Abstract
Ballistocardiography (BCG) is considered a good alternative to HRV analysis with its non-contact and unobtrusive acquisition characteristics. However, consensus about its validity has not yet been established. In this study, 50 healthy subjects (26.2 +/- 5.5 years old, 22 females, 28 males) were invited. Comprehensive statistical analysis, including Coefficients of Variation (CV), Lin's Concordance Correlation Coefficient (LCCC), and Bland-Altman analysis (BA ratio), were utilized to analyze the consistency of BCG and ECG signals in HRV analysis. If the methods gave different answers, the worst case was taken as the result. Measures of consistency such as Mean, SDNN, LF gave good agreement (the absolute value of CV difference < 2%, LCCC > 0.99, BA ratio < 0.1) between J-J (BCG) and R-R intervals (ECG). pNN50 showed moderate agreement (the absolute value of CV difference < 5%, LCCC > 0.95, BA ratio < 0.2), while RMSSD, HF, LF/HF indicated poor agreement (the absolute value of CV difference >= 5% or LCCC <= 0.95 or BA ratio >= 0.2). Additionally, the R-R intervals were compared with P-P intervals extracted from the pulse wave (PW). Except for pNN50, which exhibited poor agreement in this comparison, the performances of the HRV indices estimated from the PW and the BCG signals were similar.
Year
DOI
Venue
2022
10.3390/s22062423
SENSORS
Keywords
DocType
Volume
heartrate variability, ballistocardiography, pulse wave, electrocardiography, hrv analysis
Journal
22
Issue
ISSN
Citations 
6
1424-8220
0
PageRank 
References 
Authors
0.34
0
11
Name
Order
Citations
PageRank
Huiying Cui100.34
Zhongyi Wang200.34
Bin Yu300.34
Fangfang Jiang401.01
Ning Geng500.34
Yongchun Li600.34
Lisheng Xu717839.09
Dingchang Zheng800.34
Biyong Zhang942.89
Peilin Lu1000.34
Stephen E Greenwald1101.35