Hypertension and Stroke Cardiovascular Control Evaluation by Analyzing Blood Pressure, Cerebral Blood Flow, Blood
Shoou-Jeng Yeh1, Chi-Wen Lung2,3, Yih-Kuen Jan3
1Section of Neurology and Neurophysiology, Cheng-Ching General Hospital, Taichung, Taiwan.
Insights
Cardiovascular control is impaired in hypertension and stroke patients, indicated by increased blood pressure and altered cerebral blood flow. Bio-signal analysis reveals significant variations, aiding in early risk detection.
Area of Science:
- Cardiovascular physiology and disease
- Biomedical engineering
- Neurology
Background:
- Cardiovascular diseases are leading causes of mortality globally and in Taiwan.
- Detecting cardiovascular and cerebrovascular diseases is challenging due to system complexity.
- Cardiopulmonary system changes can indicate cardiovascular and cerebrovascular disease risk.
Purpose of the Study:
- To analyze cardiovascular control variations in healthy, hypertensive, and stroke groups.
- To identify differences in cardiovascular control using linear and nonlinear methods.
- To explore bio-signal analysis for detecting hypertension and stroke risk.
Main Methods:
- Analysis of blood pressure and cerebral blood flow velocity variability.
- Application of linear and nonlinear analytical approaches.
- Utilizing baroreflex sensitivity (BRS) and cross-correlation (CCF) analysis.
Main Results:
- Hypertensive and stroke patients showed significantly higher blood pressure and cerebral blood flow than healthy individuals (p < 0.05).
- Cerebrovascular resistance was slightly higher in hypertensive patients (p < 0.1).
- Baroreflex sensitivity decreased in stroke patients (p < 0.05), and blood pressure showed higher chaotic behavior in hypertensive patients.
Conclusions:
- Cardiovascular control performance varies significantly in hypertensive and stroke patients compared to healthy individuals.
- Bio-signal analysis can reveal these variations, offering a potential measure for risk detection.
- This pilot study highlights the utility of analyzing cardiovascular control variations for clinical prevention strategies.
Abstract:
Cardiovascular diseases have been the leading causes of mortality in Taiwan and the world at large for decades. The composition of cardiovascular and cerebrovascular systems is quite complicated. Therefore, it is difficult to detect or trace the related signs of cardiovascular and cerebrovascular diseases. The characteristics and changes in cardiopulmonary system disease can be used to track cardiovascular and cerebrovascular disease prevention and diagnosis. This can effectively reduce the occurrence of cardiovascular and cerebrovascular diseases. This study analyzes the variability in blood pressure, cerebral blood flow velocity and the interaction characteristics using linear and nonlinear approaches in stroke, hypertension and healthy groups to identify the differences in cardiovascular control in these groups. The results showed that the blood pressure and cerebral blood flow of stroke patients and hypertensive patients were significantly higher than those of healthy people (statistical differences (p < 0.05). The cerebrovascular resistance (CVR) shows that the CVR of hypertensive patients is higher than that of healthy people and stroke patients (p < 0.1), indicating that the cerebral vascular resistance of hypertensive patients is slightly higher. From the patient's blood flow and vascular characteristics, it can be observed that the cardiovascular system is different from those in healthy people. Baroreflex sensitivity (BRS) decreased in stroke patients (p < 0.05). Chaotic analysis revealed that the blood pressure disturbance in hypertensive patients has a higher chaotic behavior change and the difference in initial state sensitivity. Cross-correlation (CCF) analysis shows that as the course of healthy→hypertension→stroke progresses, the maximum CCF value decreases significantly (p < 0.05). That means that blood pressure and cerebral blood flow are gradually not well controlled by the self-regulation mechanism. In conclusion, cardiovascular control performance in hypertensive and stroke patients displays greater variation. This can be observed by the bio-signal analysis. This analysis could identify a measure for detecting and preventing the risk for hypertension and stroke in clinical practice. This is a pilot study to analyze cardiovascular control variation in healthy, hypertensive and stroke groups.
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