Accurate and continuous blood pressure (BP) monitoring is essential to the
early prevention of cardiovascular diseases. Non-invasive and cuff-less BP
estimation algorithm has gained much attention in recent years. Previous
studies have demonstrated that brain bio-impedance (BIOZ) is a promising
technique for non-invasive intracranial pressure (ICP) monitoring. Clinically,
treatment for patients with traumatic brain injuries (TBI) requires monitoring
the ICP and BP of patients simultaneously. Estimating BP by brain BIOZ directly
can reduce the number of sensors attached to the patients, thus improving their
comfort. To address the issues, in this study, we explore the feasibility of
leveraging brain BIOZ for BP estimation and propose a novel cuff-less BP
estimation approach called BrainZ-BP. Two electrodes are placed on the forehead
and occipital bone of the head in the anterior-posterior direction for brain
BIOZ measurement. Various features including pulse transit time and
morphological features of brain BIOZ are extracted and fed into four regression
models for BP estimation. Results show that the mean absolute error, root mean
square error, and correlation coefficient of random forest regression model are
2.17 mmHg, 3.91 mmHg, and 0.90 for systolic pressure estimation, and are 1.71
mmHg, 3.02 mmHg, and 0.89 for diastolic pressure estimation. The presented
BrainZ-BP can be applied in the brain BIOZ-based ICP monitoring scenario to
monitor BP simultaneously.

研究探讨了通过大脑生物阻抗 (Brain BIOZ) 来估计血压的方法，并提出了一种新的无袖血压估计方法 BrainZ-BP。使用大脑生物阻抗的脉冲传递时间和形态特征，通过四个回归模型估计血压，结果表明该方法在收缩压和舒张压估计上具有很好的表现，适用于基于大脑生物阻抗的颅内压监测场景，实现同时监测血压。