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Exploring genomic functions requires accurate hysiological data acquisition to reveal the connection between genomic structure and medical symptoms. Most of these genetic experiments begin by changing certain genomic sequences of laboratory mice and then monitoring their physiological behavior. Physiological parameters typically include blood pressure, EKG, EEG, heart rate, body temperature, and body activity. In order to acquire accurate data with minimum distortion, a miniaturized wireless sensor without battery is highly desired. This work focuses on wireless activity sensor development. A…mehr

Produktbeschreibung
Exploring genomic functions requires accurate hysiological data acquisition to reveal the connection between genomic structure and medical symptoms. Most of these genetic experiments begin by changing certain genomic sequences of laboratory mice and then monitoring their physiological behavior. Physiological parameters typically include blood pressure, EKG, EEG, heart rate, body temperature, and body activity. In order to acquire accurate data with minimum distortion, a miniaturized wireless sensor without battery is highly desired. This work focuses on wireless activity sensor development. A lateral-axis differential capacitive MEMS accelerometer is designed and fabricated in MUMPs process. The system has been characterized with an untethered laboratory mouse. The received signal shows various acceleration waveforms corresponding to different types of mouse activities. The MEMS accelerometer and interface circuit can be potentially integrated with other biological sensors to achieve a miniature implantable biosensing system.
Autorenporträt
LU, CHENG-KUAN§Cheng-Kuan (Bobby) Lu received his B.S. from National Tsing Hua University in Taiwan and M.S. from Case Western Reserve University in Cleveland Ohio. He is working towards his Ph.D. in Dr. Garverick's Mixed-Signal IC research group at Case Western Reserve University.

Young, Darrin J.§Dr. Young has been an Assistant and Associate Professor in EECS of the Case Western Reserve University since 1999. His research focuses on developing the sensors, actuators, interface and telemetry circuits.