期刊
ELECTRONICS
卷 11, 期 9, 页码 -出版社
MDPI
DOI: 10.3390/electronics11091442
关键词
ECG; PPG; pulse transit time; blood pressure; regression analysis
资金
- European Union [824984]
This work investigates the use of regression techniques to estimate continuous blood pressure through pulse transit time and heart rate without the need for a cuff. The continuous monitoring of hypertension can greatly improve the prevention of cardiovascular diseases and provide valuable tools for patient care. The study introduces innovative methods for pre-processing and feature research, paving the way for continuous non-invasive blood pressure monitoring.
In this work, the authors investigate the cuff-less estimation of continuous BP through pulse transit time (PTT) and heart rate (HR) using regression techniques, which is intended as a first step towards continuous BP estimation with a low error, according to AAMI guidelines. Hypertension (the 'silent killer') is one of the main risk factors for cardiovascular diseases (CVDs), which are the main cause of death worldwide. Its continuous monitoring can offer a valid tool for patient care, as blood pressure (BP) is a significant indicator of health and, using it together with other parameters, such as heart and breath rates, could strongly improve prevention of CVDs. The novelties introduced in this work are represented by the implementation of pre-processing and by the innovative method for features research and features processing to continuously monitor blood pressure in a non-invasive way. Currently, invasive methods are the only reliable methods for continuous monitoring, while non-invasive techniques measure the values every few minutes. The proposed approach can be considered the first step for the integration of these types of algorithms on wearable devices, in particular on those developed for the SINTEC project.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据