Blood pressure estimation based on pulse rate variation in a certain period

Area of Science:

• Biomedical Engineering
• Physiology
• Health Informatics

Background:

• Daily continuous blood pressure (DCBP) monitoring is crucial for public health.
• Existing blood pressure measurement methods (cuff-based and cuffless) have limitations for DCBP.
• Current cuffless methods using pulse waveform, pulse transit time, or circulation models are not ideal for DCBP.

Purpose of the Study:

• To develop and validate a novel method for estimating daily continuous blood pressure (DCBP).
• To overcome limitations of existing blood pressure monitoring techniques for continuous, long-term measurement.
• To enable more accessible and practical DCBP monitoring.

Main Methods:

• Implementation of a simple circulatory system model incorporating pulse rate measurement.
• Development of a dynamic system model and an inverse control system model.
• Utilizing a wearable device for 24-hour pulse rate monitoring and sphygmomanometry for parameter calibration and validation.

Main Results:

• The proposed method demonstrated appropriate estimation of DCBP.
• Preliminary experiments showed mean absolute errors of 9.4/6.4 mmHg (4 days) and 7.3/5.9 mmHg (5 subjects).
• The model incorporates pulse rate and six parameters reflecting circulatory dynamics.

Conclusions:

• The developed method provides a viable approach for estimating daily continuous blood pressure (DCBP).
• This technique shows promise for improving blood pressure monitoring and contributing to a healthier society.
• Further validation is warranted, but initial results are encouraging for DCBP estimation.