Abstract
A non-invasive blood viscosity detection method based on pulse wave is proposed. The method establishes a relationship equation between blood viscosity and peripheral resistance, arterial compliance, and pulse wave waveform characteristics by extracting characteristic parameters of human pulse wave. According to the blood viscosity model established by linear regression analysis, the human blood viscosity value is estimated to achieve non-invasive blood viscosity detection. The experimental results show that the blood using this method. The viscosity is in good agreement with the blood viscosity values measured by the blood viscometer.
Highlights
Blood viscosity refers to the resistance formed by the friction between two parallel fluid layers when the blood flows, and the blood viscosity is the most important and basic physiological parameter of blood rheological properties
This paper proposes a non-invasive blood viscosity detection method based on pulse wave, aiming at achieving high precision non-invasive blood viscosity detection
The non-invasive blood viscosity detection method proposed in this paper mainly aims to construct a non-invasive blood viscosity detection model by the relationship between blood viscosity and peripheral resistance, arterial compliance, and pulse wave waveform characteristics
Summary
Blood viscosity refers to the resistance formed by the friction between two parallel fluid layers when the blood flows, and the blood viscosity is the most important and basic physiological parameter of blood rheological properties It has the disease diagnosis, treatment effect observation and prediction. Pulse wave feature extraction is to statistically analyze the blood flow waveform parameters and clinical data, correct the blood viscosity model, and bring the blood flow waveform parameters into the modified model to calculate the blood viscosity value. Verified, both have good statistical significance and high accuracy[1]. At the end of the paper, this method is verified and discussed
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