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| Characterization of Congestive Heart Failure by the Pattern of Diurnal Rhythm Based on Heart Rate Variability |
| WANG Zhi-gang1,2, ZHANG Zheng-guo1,2, PENG Yi1,2* |
1. Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing 100005, China;
2. School of Basic Medicine, Peking Union Medical College, Beijing 100005, China |
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Abstract The impaired autonomic nervous system (ANS) has a close relationship to morbidity and mortality for congestive heart failure (CHF). This study is aimed to investigate the possibility to characterize CHF by the pattern of diurnal rhythm based on heart rate variability (HRV). Two datasets of CHF (n=44) were from PhysioNet. And the datasets of the normal from THEW (n=189). Two 2 h episodes representing day and night in resting state were selected in each Holter record. Measures concerning time domain, AR model-based analysis, symbol dynamic analysis, and non-Gaussian indexes (λ) were calculated in each episode. The diurnal rhythm was represented by the ratio of an index in the day to that at night. Results demonstrated different patterns of diurnal rhythm among the normal, mild CHF (NYHAI-II) and severe CHF (NYHA III-IV), reflecting the changes in sympathetic and vagal interaction from reciprocal function to accentuated antagonism due to CHF. Furthermore, using RRIn,(LFnu)d/(LFnu)n and λd/λn, the sensitivity and specificity for discriminating the normal and CHF reached 95.45% and 95.24%; And for discriminating between mild CHF and severe CHF were 84.38% and 91.67%. Our proposed method is promising in assessing the ANS state and monitoring therapeutic effects for CHF patients.
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Received: 15 May 2022
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| Fund:National Natural Science Foundation of China; grant number: 81471746,81071225; Innovation Project of Medicine and Health Science and Technology of Chinese Academy of Medical Sciences; grant number: 2016-12M-3-08 |
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Corresponding Authors:
PENG Yi. E-mail: pengyi@pumc.edu.cn
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