WIMS Seminar

A Multi-Channel Wireless FM Transmitter For Biomedical Neural Recording Applications AND Silicon

Pedram Mohseni

UM Graduate Student
Wireless recording of neural activity from a biological host contributes to neurosciences such as neuroethology. For such an experiment, implantable microelectrodes are essential tools as well as multi-channel telemetry systems because of their advantage of simultaneous recording of nerve signals. The majority of the current neural recording systems utilize external surface mount devices in a board-level discrete design having prohibitively large size and power consumption that makes them impractical for general-purpose low power applications. In this talk, we present a multi-channel stand-alone wireless FM transmitter suitable for a variety of biomedical recording applications. The circuit blocks of such a system will be described and their individual performance will be evaluated. Benchtop tests will verify the functionality of the full system in a truly wireless RF link. In the near future, this system will be interfaced with micro-machined polyimide sieve electrodes for wireless in-vivo neural recording from Chorda Tympani that controls the taste function in rats.

Pedram Mohseni was born in Tehran, Iran in 1974. He received the B.S. degree in Electrical Engineering from Sharif University of Technology, Tehran, Iran in 1996 and the M.S. degree in Electrical Engineering from the University of Michigan, Ann Arbor, MI in 1999, where he is currently working towards his Ph.D. degree. During the summer and fall of 1998, he worked at Canopus Systems, Inc., Ann Arbor, MI, on developing signal processing algorithms for decimation and filtering of the highly over-sampled output of SD converters used in a closed-loop micro-gravity micro-accelerometer system. Since 1998, he has been a graduate student research assistant at the Center for Wireless Integrated MicroSystems (WIMS), University of Michigan, where he is currently working on developing high performance CMOS transceivers for biomedical recording applications.

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