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Nonlinear pattern analysis of ventricular premature beats by mutual information
M Osaka1, H Saitoh, T Yokoshima
1Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, USA. osaka/medI@nms.ac.jp
Methods of Information in Medicine
|February 21, 1998
Summary
Ventricular premature beats (VPBs) are not random. Mutual information analysis reveals patterns in VPB generation, suggesting autonomic activity influences those with higher correlation.
Area of Science:
- Cardiology
- Computational Biology
- Autonomic Nervous System Research
Background:
- The frequency of ventricular premature beats (VPBs) is linked to mortality risk.
- The temporal patterns of VPB occurrence and their relationship with autonomic activity remain poorly understood.
Purpose of the Study:
- To quantify the temporal patterns of VPB generation using mutual information.
- To assess the correlation between VPB production and heart rate to evaluate autonomic activity's effect on VPBs.
Main Methods:
- Applied mutual information, a general correlation measure, to analyze VPB occurrence over time.
- Examined twenty subjects with over 3000 VPBs/day.
- Simulated random time series of VPB occurrence for comparison.
Main Results:
- Mutual information values effectively characterize the temporal patterns of VPB generation.
- VPB production is demonstrated to be non-random.
- VPBs exhibiting higher mutual information values appear more influenced by autonomic activity.
Conclusions:
- The temporal generation of VPBs can be quantitatively characterized using mutual information.
- Autonomic activity significantly influences VPB production, particularly for those with higher temporal correlation.