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Case School of Engineering
New biological sensors likely to revolutionize health care
by Marci
E. Hersh
Scientists at Case Western Reserve University are carving out a revolutionary new paradigm for the health care market with cutting-edge, implantable, wireless biological sensors smaller than aspirin. As part of a new trend toward unifying several bulky external devices into one implantable sensor system, the device underway at Case will simultaneously monitor a variety of biological signals including heart rate, blood pressure and temperature—and hold the potential to some day help doctors and patients detect a seizure or a heart attack before it starts. "This device is a watershed concept that can revolutionize health care as we know it," said Joseph Nadeau, co-principal investigator and chair of the department of genetics at the Case School of Medicine. "Today, health care is reactive. We respond to a crisis like a heart attack after it has already begun. But in the future, implanted biological sensors can be proactive health care solutions, gathering signals from inside the body to help monitor a patient's health minute-to-minute, helping us to catch a heart attack or a seizure before it starts. "At the other extreme," Nadeau added, "these miniature devices could be designed to recognize a series of biological events and notify someone to stop driving and seek immediate medical attention. They could even be designed to e-mail or page a physician." The tiny device, which is being tested in mice, will include onboard computer intelligence to record and report real-time data from inside the mouse to a remote desktop computer. The computer will be equipped with high-tech signal processing software that will synthesize the sensor's raw data to help scientists extract meaningful information. In addition to providing data to a remote computer for processing, analysis, interpretation and feedback, the computer simultaneously will control the operating characteristics of the sensor. For example, the computer will send signals to lower the sensor's power consumption when no data output is needed or to reconfigure the sensor to collect different kinds of data. "This miniature device is on the cutting edge of electrical engineering and computer science research with a central microprocessor at its core," said Darrin Young, principal investigator and professor of electrical engineering and computer science at the Case School of Engineering. "The implant integrates biological sensors and sensing electronics, which pick up the data gathered by the biological sensors," Young continued. "Electronic telemetry circuits inside the tiny device will wirelessly transmit the information from inside the device to a nearby receiver for further signal processing before the data reaches a remote computer. They also will receive incoming commands from the computer to intelligently control the implant system and provide it with radio frequency power." The wireless sensor under development at Case also will help scientists link diseases like epilepsy and hypertension to their genetic origins by revealing information about certain traits, like high blood pressure, which may indicate susceptibility to disease. "The human genome project is still in its early stages, and technical advances
are important to its mission," said Ken Loparo, co-principal
investigator and professor of electrical engineering and computer
science at the School
of Engineering. "We are developing a unique two-way device-10
times smaller than any device on the market for laboratory use
and The Case project is supported by a grant from the National Science Foundation, following a highly competitive review of nearly 1,000 applications from around the United States. Co- investigators Wen Ko, professor emeritus, and Murat Cavusoglu, professor, both in the department of electrical engineering and computer science, also are involved in the design of the device. Ko is developing the miniature system with biocompatible implant packaging to help sustain it inside the body and, ultimately, determine the long-term performance of the device.
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This page last updated on:
Thursday, 02-Dec-2004 12:29:53 EST |