Severe Cardiac Event Prediction System
Value Proposition
A challenge for vehicle applications is having a system that can detect small changes in heart rhythms but can also separate out the noise and motion that happens inside the vehicle. The Severe Cardiac Event Prediction System uses robust and advanced algorithms to predict the occurrence of adverse cardiac events in real time.
In collaboration with the Toyota Collaborative Safety Research Center, researchers at the University of Michigan have developed a state of the art health technology that can predict severe cardiac events at home and on the road. The system uses sensors that non-invasively monitor a driver’s physiology while machine learning algorithms collect and analyze data to predict cardiac events.
Competitive Advantage
Pioneering in-vehicle physiological monitoring
Application beyond cardiac events
Real-time alert system
Could pair with autonomous driving technology
Unique Features
Application beyond cardiac events
Real-time alert system
Could pair with autonomous driving technology
Licensing Information
Toyota in 2018
Principal Investigators
Kayvan Najarian, PhD
Intellectual Property
Invention Disclosure # 2018-399
Patent Issued # US10463314B1
Solution Sheet
Download Solution Sheet (PDF)
Image courtesy of project team
A large number of traffic incidents are caused by medical conditions while driving, specifically cardiovascular events, such as myocardial infarction and myocardial ischemia. This technology can monitor and analyze the physiology of the person driving and predict if they are going to have adverse cardiac events.
Contact Toyota for more information about investment and partnership opportunities.
Funding History
$1,573,525 in non-dilutive funding
2017 $1,573,525 Toyota Technical Center, USA, Inc.
Substantial additional departmental, school and center based support
Funding Organizations
