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A 24-Hour Prediction Model of Blood Pressure Employing Endocrine System and Autonomic Nervous System

  • Toshihiro Nishimura
  • Masao Saito
Conference paper

Abstract

Hypertension is a medical problem with no permanent cure. Extended hypertension can cause various cardio vascular diseases, cerebral vascular diseases, and circulatory system trouble. Medical treatment at present does not consider circadian variation of blood pressure in patients; therefore, the problem of over-reduction of blood pressure through drugs sometimes occurs. It is important for preventing damage to internal organs that the blood pressure variation is predicted after drug administration. If it can be predicted, a proper medical treatment, including drugs, can be given.

This paper presents a prediction model of circadian variation of mean blood pressure employing the endocrine grand and the autonomic nervous system. Heart rate and mean blood pressure in 17 normal subjects and 17 essential hypertensive subjects are simulated by employing a model. The absolute errors between simulation results and measured values are calculated to evaluate the model.

The results showed that absolute errors between simulation results and measured values were less than 10 percent compared to mean blood pressure and heart rate at rest. It is thus confirmed that the model is useful to predict circadian variation of heart rate and mean blood pressure.

Keywords

Stroke Volume Absolute Error Autonomic Nervous System Adrenal Cortex Peripheral Resistance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Tokyo 1992

Authors and Affiliations

  • Toshihiro Nishimura
    • 1
  • Masao Saito
    • 1
    • 2
  1. 1.Department of Electrical Engineering, Faculty of EngineeringOita UniversityJapan
  2. 2.Institute of Medical Electronics, Faculty of MedicineUniversity of TokyoJapan

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