Cuffless continuous blood pressure monitor

The Portal is a joint project of MATTO and the MTTC. The development and implementation of the portal has been paid for by the MTTC, Beth Israel Deaconess Medical Center, Boston Biomedical Research Institute, Boston University, Brandeis University, Caritas St. Elizabeth's Medical Center, Boston Children's Hospital, Dana Farber Cancer Institute, Harvard University, Joslin Diabetes Center, Massachusetts Eye and Ear Infirmary, Massachusetts General Hospital, McLean Hospital, Northeastern University, The Schepens Eye Research Institute, and Tufts University.

Intellectual Property

ID:		8458
IP Type:		Licensable Technology
Title:		Cuffless continuous blood pressure monitor
Inventor:		Asada, Haruhiko Harry; Yang, Boo-Ho; Zhang, Yi
Summary:		A device for noninvasive, continuous monitoring of arterial blood pressure for advanced cardiovascular diagnoses. Most of the current noninvasive, continuous blood pressure measurement devices are mechanically intrusive and, therefore, cannot be used for long-term ambulatory monitoring. This new approach requires only simple, noninvasive monitoring devices such as finger photoplethysmographs and an electrical impedance photoplethysmograph (EIP) to monitor the dynamic behavior of the arterial blood flow. In this approach, measured signals from these noninvasive sensors on an arterial segment are integrated to estimate the blood pressure in the segment based on a hemodynamic model. A mathematical model of the arterial blood flow is derived and transformed into a state-space representation. In the modeling, a precise hemodynamic model for the arterial segment on which sensors are located is derived, and combined with relatively simplified models of the upstream and the downstream arterial flows to represent an entire arterial stream. Then, a Kalman filter is designed based on the model and it is shown that the internal variables such as the arterial blood pressure in the arterial segment can be estimated based on the measurements, even though the observability condition of the system may not be met. Simulation results indicate that the approach can generate an accurate estimation of the arterial blood pressure in real-time even from noisy sensor signals.
Tech Type:
URL:		http://www.ipvisioninc.com/findurl.php?uid=mitDossier:8458
Contact:		Tom Tachovsky
Organization:		Massachusetts Institute of Technology

Display all intellectual properties for Asada, Haruhiko Harry; Yang, Boo-Ho; Zhang, Yi
Display all intellectual properties for Massachusetts Institute of Technology