Blood pressure monitor measured by light: Blood pressure estimation method using photoplethysmography (PPG).
Estimation of blood pressure with minimal error using photoplethysmography (PPG). It can be applied to blood pressure monitoring with wearable devices!
We introduce a method for estimating blood pressure using photoplethysmography and a computer program for blood pressure estimation. In the conventional method of estimating blood pressure using photoplethysmography, there were significant estimation errors due to individual differences and issues related to the black-box nature of nonlinear models, which prevented widespread use. This technology alleviates estimation errors caused by individual differences by introducing normalization of features and bias adjustment for blood pressure, thereby generating a generalized model. To address the black-box issue of nonlinear models, we utilized a multiple regression model to facilitate the interpretation of the blood pressure estimation model. As a result, depending on the training data, it has become possible to construct a generalized blood pressure estimation model with an estimation error of 10 mmHg or less. [Keywords] Health management / Wearable devices / Medical devices / Machine learning / Work style reform *For more details, please refer to the PDF document or feel free to contact us.
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【Issues】 ■ Significant estimation errors due to individual differences ■ Black box effect caused by nonlinear models 【Results】 ■ Mitigated by introducing feature normalization and bias adjustment for blood pressure, resulting in a generalized model ■ Utilized multiple regression models to facilitate the interpretation of the blood pressure estimation model ⇛ Depending on the training data, it is possible to construct a generalized blood pressure estimation model with estimation errors below 10 [mmHg]. Patent applied for 【Application No. 2021-049892】 *For more details, please refer to the PDF document or feel free to contact us.
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[Usage] ■ Blood pressure monitoring in environments (such as workplaces) where it is difficult to measure with a standard blood pressure monitor ■ Continuous blood pressure monitoring in daily life using wearable devices ■ Application of estimated blood pressure for remote health monitoring and preventive medicine *For more details, please refer to the PDF document or feel free to contact us.
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