Biomedical & Clinical Informatics Lab

Department of Computational Medicine & Bioinformatics

Non-Invasive Portable System for Continuous Cardiovascular Monitoring

Cardiovascular diseases are the most common cause of death worldwide. Currently there are no truly portable and low-powered devices or systems that can be used for the non-invasive continuous monitoring of the cardiovascular system. The monitoring and treatment of medical and surgical conditions such as sepsis, congestive heart failure, hypertension, trauma, and other acute and chronic diseases could tremendously benefit from devices that allow direct or indirect continuous monitoring of important cardiovascular parameters in a nonintrusive manner. These could include but not be limited to blood pressure waveform analysis (BPWA) and derivatives such as pulse pressure variability (PPV), heart rate (HR) heart rate variability (HRV), respiratory rate (RR), dynamic changes in arterial vessel wall stiffness and others. Features extracted from BPWA such as HRV and PPV have proven to be highly correlated with a number of physiological conditions helping care givers with a variety of critical clinical decision making opportunities. The proposed system consists of 1) a piezo-electric sensor embedded in the form of a ring which collects a mechanical vascular signal, 2) a real-time signal processing system that collects and processes the collected sensor signal using advanced signal processing and machine learning algorithms to extract clinically-useful information such as BPWA, HR, HRV, PPV and others, and 3) an onboard wireless signal transmission system allowing for the sending of information to a remote platform such as a smart phone or other platform for signal processing and decision making. The device/system in its entirety will be a very portable small, easy to wear, non-invasive and will provide a method to continuously measure and monitor the blood pressure waveform and its derivative information, such as HR, HRV, and PPV. The device and its software will be tested in a variety of critically ill and injured subjects. It is expected that the results obtained from this project will result in rapid transition to an industry partner for rapid commercialization