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Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
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Complexity Change in Cardiovascular Disease.
Chang Chen1, Yu Jin1, Iek Long Lo2
1Faculty of Health Sciences, University of Macau, Taipa, Macau.
International Journal of Biological Sciences
|November 7, 2017
Summary
Entropy analysis reveals distinct patterns in cardiovascular disease. While heart rate variability and pulse index show decreased entropy in patients, diastolic period variability and heart sounds exhibit increased entropy, offering new diagnostic insights.
Area of Science:
- Biomedical Engineering
- Cardiology
- Signal Processing
Background:
- Wearable medical devices enable continuous physiological signal monitoring.
- Entropy quantifies signal irregularity and complexity.
- Understanding entropy changes in cardiovascular diseases is crucial.
Purpose of the Study:
- To review entropy changes in physiological signals related to cardiovascular diseases.
- To explore the diagnostic potential of entropy in cardiology.
Main Methods:
- Literature review focusing on entropy in cardiovascular disease.
- Analysis of entropy trends across different physiological signals.
Main Results:
- Entropy changes vary depending on the physiological signal.
- Heart rate variability and pulse index show lower entropy in cardiovascular disease patients.
- Diastolic period variability and heart sounds show higher entropy in cardiovascular disease patients.
Conclusions:
- The direction of entropy change is signal-dependent in cardiovascular diseases.
- Entropy analysis offers valuable guidance for cardiovascular disease research.
- Provides a foundation for wearable device-based physiological signal analysis.
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