Cargando…
The Interaction Analysis between the Sympathetic and Parasympathetic Systems in CHF by Using Transfer Entropy Method
Congestive heart failure (CHF) is a cardiovascular disease associated with autonomic dysfunction, where sympathovagal imbalance was reported in many studies using heart rate variability (HRV). To learn more about the dynamic interaction in the autonomic nervous system (ANS), we explored the directed...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512358/ https://www.ncbi.nlm.nih.gov/pubmed/33265883 http://dx.doi.org/10.3390/e20100795 |
_version_ | 1783586139434647552 |
---|---|
author | Luo, Daiyi Pan, Weifeng Li, Yifan Feng, Kaicheng Liu, Guanzheng |
author_facet | Luo, Daiyi Pan, Weifeng Li, Yifan Feng, Kaicheng Liu, Guanzheng |
author_sort | Luo, Daiyi |
collection | PubMed |
description | Congestive heart failure (CHF) is a cardiovascular disease associated with autonomic dysfunction, where sympathovagal imbalance was reported in many studies using heart rate variability (HRV). To learn more about the dynamic interaction in the autonomic nervous system (ANS), we explored the directed interaction between the sympathetic nervous system (SNS) and the parasympathetic nervous system (PNS) with the help of transfer entropy (TE). This article included 24-h RR interval signals of 54 healthy subjects (31 males and 23 females, 61.38 ± 11.63 years old) and 44 CHF subjects (8 males and 2 females, 19 subjects’ gender were unknown, 55.51 ± 11.44 years old, 4 in class I, 8 in class II and 32 in class III~IV, according to the New York Heart Association Function Classification), obtained from the PhysioNet database and then segmented into 5-min non-overlapping epochs using cubic spline interpolation. For each segment in the normal group and CHF group, frequency-domain features included low-frequency (LF) power, high-frequency (HF) power and LF/HF ratio were extracted as classical estimators of autonomic activity. In the nonlinear domain, TE between LF and HF were calculated to quantify the information exchanging between SNS and PNS. Compared with the normal group, an extreme decrease in LF/HF ratio (p = 0.000) and extreme increases in both TE(LF→HF) (p = 0.000) and TE(HF→LF) (p = 0.000) in the CHF group were observed. Moreover, both in normal and CHF groups, TE(LF→HF) was a lot greater than TE(HF→LF) (p = 0.000), revealing that TE was able to distinguish the difference in the amount of directed information transfer among ANS. Extracted features were further applied in discriminating CHF using IBM SPSS Statistics discriminant analysis. The combination of the LF/HF ratio, TE(LF→HF) and TE(HF→LF) reached the highest screening accuracy (83.7%). Our results suggested that TE could serve as a complement to traditional index LF/HF in CHF screening. |
format | Online Article Text |
id | pubmed-7512358 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75123582020-11-09 The Interaction Analysis between the Sympathetic and Parasympathetic Systems in CHF by Using Transfer Entropy Method Luo, Daiyi Pan, Weifeng Li, Yifan Feng, Kaicheng Liu, Guanzheng Entropy (Basel) Article Congestive heart failure (CHF) is a cardiovascular disease associated with autonomic dysfunction, where sympathovagal imbalance was reported in many studies using heart rate variability (HRV). To learn more about the dynamic interaction in the autonomic nervous system (ANS), we explored the directed interaction between the sympathetic nervous system (SNS) and the parasympathetic nervous system (PNS) with the help of transfer entropy (TE). This article included 24-h RR interval signals of 54 healthy subjects (31 males and 23 females, 61.38 ± 11.63 years old) and 44 CHF subjects (8 males and 2 females, 19 subjects’ gender were unknown, 55.51 ± 11.44 years old, 4 in class I, 8 in class II and 32 in class III~IV, according to the New York Heart Association Function Classification), obtained from the PhysioNet database and then segmented into 5-min non-overlapping epochs using cubic spline interpolation. For each segment in the normal group and CHF group, frequency-domain features included low-frequency (LF) power, high-frequency (HF) power and LF/HF ratio were extracted as classical estimators of autonomic activity. In the nonlinear domain, TE between LF and HF were calculated to quantify the information exchanging between SNS and PNS. Compared with the normal group, an extreme decrease in LF/HF ratio (p = 0.000) and extreme increases in both TE(LF→HF) (p = 0.000) and TE(HF→LF) (p = 0.000) in the CHF group were observed. Moreover, both in normal and CHF groups, TE(LF→HF) was a lot greater than TE(HF→LF) (p = 0.000), revealing that TE was able to distinguish the difference in the amount of directed information transfer among ANS. Extracted features were further applied in discriminating CHF using IBM SPSS Statistics discriminant analysis. The combination of the LF/HF ratio, TE(LF→HF) and TE(HF→LF) reached the highest screening accuracy (83.7%). Our results suggested that TE could serve as a complement to traditional index LF/HF in CHF screening. MDPI 2018-10-16 /pmc/articles/PMC7512358/ /pubmed/33265883 http://dx.doi.org/10.3390/e20100795 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Luo, Daiyi Pan, Weifeng Li, Yifan Feng, Kaicheng Liu, Guanzheng The Interaction Analysis between the Sympathetic and Parasympathetic Systems in CHF by Using Transfer Entropy Method |
title | The Interaction Analysis between the Sympathetic and Parasympathetic Systems in CHF by Using Transfer Entropy Method |
title_full | The Interaction Analysis between the Sympathetic and Parasympathetic Systems in CHF by Using Transfer Entropy Method |
title_fullStr | The Interaction Analysis between the Sympathetic and Parasympathetic Systems in CHF by Using Transfer Entropy Method |
title_full_unstemmed | The Interaction Analysis between the Sympathetic and Parasympathetic Systems in CHF by Using Transfer Entropy Method |
title_short | The Interaction Analysis between the Sympathetic and Parasympathetic Systems in CHF by Using Transfer Entropy Method |
title_sort | interaction analysis between the sympathetic and parasympathetic systems in chf by using transfer entropy method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512358/ https://www.ncbi.nlm.nih.gov/pubmed/33265883 http://dx.doi.org/10.3390/e20100795 |
work_keys_str_mv | AT luodaiyi theinteractionanalysisbetweenthesympatheticandparasympatheticsystemsinchfbyusingtransferentropymethod AT panweifeng theinteractionanalysisbetweenthesympatheticandparasympatheticsystemsinchfbyusingtransferentropymethod AT liyifan theinteractionanalysisbetweenthesympatheticandparasympatheticsystemsinchfbyusingtransferentropymethod AT fengkaicheng theinteractionanalysisbetweenthesympatheticandparasympatheticsystemsinchfbyusingtransferentropymethod AT liuguanzheng theinteractionanalysisbetweenthesympatheticandparasympatheticsystemsinchfbyusingtransferentropymethod AT luodaiyi interactionanalysisbetweenthesympatheticandparasympatheticsystemsinchfbyusingtransferentropymethod AT panweifeng interactionanalysisbetweenthesympatheticandparasympatheticsystemsinchfbyusingtransferentropymethod AT liyifan interactionanalysisbetweenthesympatheticandparasympatheticsystemsinchfbyusingtransferentropymethod AT fengkaicheng interactionanalysisbetweenthesympatheticandparasympatheticsystemsinchfbyusingtransferentropymethod AT liuguanzheng interactionanalysisbetweenthesympatheticandparasympatheticsystemsinchfbyusingtransferentropymethod |