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Nonlinear analysis of heart rate dynamics in hyperthyroidism
Jin-Long Chen1, Yin-Jiun Tseng, Hung-Wen Chiu
1Institute of Biomedical Engineering, National Yang-Ming University, Taipei, Taiwan.
Hyperthyroid patients exhibit reduced heart rate variability (HRV) complexity compared to healthy individuals. This nonlinear analysis using correlation dimension (CD) helps distinguish between hyperthyroid and normal heart dynamics.
Area of Science:
- Cardiovascular Physiology
- Nonlinear Dynamics
- Endocrinology
Background:
- Heart rate generation involves nonlinear chaotic dynamics.
- The nonlinear dynamics of heart rate in hyperthyroidism remain uninvestigated.
- Hyperthyroidism may impact cardiovascular system complexity.
Purpose of the Study:
- To investigate nonlinear heart rate dynamics in hyperthyroid patients.
- To compare heart rate variability (HRV) complexity between hyperthyroid patients and normal controls using correlation dimension (CD).
- To determine if CD analysis can differentiate hyperthyroid individuals.
Main Methods:
- Recruited 33 hyperthyroid Graves' disease patients and 33 matched controls.
- Recorded one-channel electrocardiograms for 30 minutes.
- Computed correlation dimension (CD) from R-R intervals using the Grassberger and Procaccia algorithm.
Main Results:
- Hyperthyroid patients had significantly reduced mean R-R intervals (616 ms vs 868 ms).
- Hyperthyroid patients showed significantly lower standard deviation of R-R intervals (25 ms vs 54 ms).
- Hyperthyroid patients demonstrated significantly decreased correlation dimension (CD) (5.02 vs 6.42), indicating reduced complexity.
Conclusions:
- Correlation dimension (CD) analysis of heart rate variability (HRV) can distinguish hyperthyroid patients from normal controls.
- Decreased CD in hyperthyroidism suggests reduced complexity and impaired cardiovascular stress tolerance.
- Findings may explain exercise intolerance and irritability in hyperthyroid patients.
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