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.

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