Back to Search
Start Over
Instantaneous Transfer Entropy for the Study of Cardiovascular and Cardio-Respiratory Nonstationary Dynamics
- Source :
- IEEE Transactions on Biomedical Engineering
- Publication Year :
- 2018
-
Abstract
- Objective: Measures of transfer entropy (TE) quantify the direction and strength of coupling between two complex systems. Standard approaches assume stationarity of the observations, and therefore are unable to track time-varying changes in nonlinear information transfer with high temporal resolution. In this study, we aim to define and validate novel instantaneous measures of TE to provide an improved assessment of complex nonstationary cardiorespiratory interactions. Methods: We here propose a novel instantaneous point-process TE (ipTE) and validate its assessment as applied to cardiovascular and cardiorespiratory dynamics. In particular, heartbeat and respiratory dynamics are characterized through discrete time series, and modeled with probability density functions predicting the time of the next physiological event as a function of the past history. Likewise, nonstationary interactions between heartbeat and blood pressure dynamics are characterized as well. Furthermore, we propose a new measure of information transfer, the instantaneous point-process information transfer (ipInfTr), which is directly derived from point-process-based definitions of the Kolmogorov–Smirnov distance. Results and Conclusion: Analysis on synthetic data, as well as on experimental data gathered from healthy subjects undergoing postural changes confirms that ipTE, as well as ipInfTr measures are able to dynamically track changes in physiological systems coupling. Significance: This novel approach opens new avenues in the study of hidden, transient, nonstationary physiological states involving multivariate autonomic dynamics in cardiovascular health and disease. The proposed method can also be tailored for the study of complex multisystem physiology (e.g., brain–heart or, more in general, brain–body interactions).
- Subjects :
- Adult
Male
Information transfer
History
Heartbeat
Databases, Factual
Physiology
Entropy
0206 medical engineering
Complex system
Biomedical Engineering
Heart Rate Variability
Probability density function
02 engineering and technology
01 natural sciences
Point process
Statistics, Nonparametric
Electrocardiography
Young Adult
0103 physical sciences
Entropy (information theory)
Humans
Statistical physics
Transfer Entropy
010306 general physics
Biomedical measurement
Mathematics
business.industry
Hemodynamics
Models, Cardiovascular
Heart beat
Signal Processing, Computer-Assisted
Complexity
Baroreflex
020601 biomedical engineering
Kolmogorov-Smirnov Distance
Respiratory Sinus Arrhythmia
Heart rate variability
Point Process
Discrete time and continuous time
Point Proce
Settore ING-INF/06 - Bioingegneria Elettronica E Informatica
Transfer entropy
Female
Artificial intelligence
business
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Biomedical Engineering
- Accession number :
- edsair.doi.dedup.....4de0b76b64d3378b8fbf01eed8a9db2b