Open AccessConditional fluctuation characteristics of heart rate variability
Author(s) -
Jiangbo Si,
Xiaolin Huang,
Lingling Zhou,
Hongxing Liu
Publication year - 2014
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.63.040504
Subject(s) - autoregressive model , arch , heart rate variability , residual , conditional probability , statistics , heteroscedasticity , econometrics , autoregressive conditional heteroskedasticity , transient (computer programming) , mathematics , heart rate , computer science , medicine , engineering , algorithm , structural engineering , blood pressure , volatility (finance) , operating system
Heart rate variability (HRV) has the characteristics of non stationary and transient fluctuation. In this paper, we propose using the autoregressive conditional heteroskedasticity (ARCH) to analyze such fluctuations. Analytical methods include using auto-regressive moving average model to eliminate sequence trends and correlativity, using the F-test method to determine whether there is ARCH effect in residual sequence, while giving an acceptance probability of ARCH effect. The fluctuations of HRV in congestive heart failure (CHF) patients and normal people are analyzed in this paper. The large difference in statistics value of acceptance probability between CHF patients and normal people indicates that the method can well distinguish between different groups. It provides a new method for the study of ECG information.