HOUSTON – (April 24, 2018) – A Rice University student team’s demonstration of a next-generation, wireless pacemaker array could point to the future of medical sensors.
The Love and Pace team of Rice electrical and computer engineering seniors demonstrated its design for a pacemaker that would place a network of chips the size of a grain of rice in various places inside the heart. These would communicate with a base station located under a patient’s skin and charge via radio frequency.
When the base station senses a problem with the heart’s rhythm, it would automatically trigger the embedded chips to release a jolt of energy timed to re-establish the heart’s normal rhythm.
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For its efforts, the team won the Excellence in Capstone Engineering Design Award and a $1,000 prize at the annual George R. Brown Engineering Design Showcase on April 12.
Different forms of wireless and leadless pacemakers have come onto the market in recent years to replace the status quo, a pulse generator located in a patient’s chest and connected to the heart via one to three wired stimulus and sensing leads.
Former Rice faculty member Aydin Babakhani and his Texas Medical Center colleagues introduced their concept for a more advanced wireless pacemaker last year that could be embedded in the heart and charged via radio frequency energy harvesting.
The students’ concept aims to build on that technology by establishing an entire network inside the heart. “The current (commercial) leadless solution is a bullet-sized pacemaker with a battery that is installed inside the heart,” said team member Yoseph Maguire. “It is effective only in pacing a single chamber of the heart.”
The concept by Maguire and his fellow electrical and computer engineering students – Chris Chivetta, Yixin Chen, Cody Tapscott, Ricky Chen and June Chen – would use millimeter-scale chips that would be permanently embedded within the heart.
They developed their ideas with the help of faculty advisers Joseph Cavallaro, a professor of electrical and computer engineering, and Gary Woods, a professor in the practice of computer technology and electrical and computer engineering, along with Texas Heart Institute cardiologists Dr. Mehdi Razavi and Dr. Brian Greet. Behnaam Aazhang, a professor of electrical and computer engineering, and Yingyan Lin, a Texas Instruments visiting research assistant professor of electrical and computer engineering, contributed to the machine learning and sensing aspects of the project.
