DocumentCode :
3121874
Title :
Wireless multi-channel sensor for neurodynamic studies
Author :
Chestek, C. ; Samsukha, P. ; Tabib-Azar, M. ; Harrison, R. ; Chiel, H. ; Garverick, S.
Author_Institution :
Dept of EECS, Case Western Reserve Univ., Cleveland, OH, USA
fYear :
2004
fDate :
24-27 Oct. 2004
Firstpage :
915
Abstract :
The paper presents the design of a bio-compatible, implantable neural recording device for Aplysia californica, a common sea slug. Low-voltage extracellular neural signals (<100 μV) are recorded using a high-performance, low-power, low-noise preamplifier that is integrated with programmable data acquisition and control, and FSK telemetry that provides 5-kbps wireless neural data through 18 cm of saltwater. The telemetry utilizes an 8-cm electric dipole antenna matched to 50 Ω by exposing the ends of the antenna to the saltwater. A 3-V lithium ion battery (160 mAh) allows 16 hours of recording. Neural data obtained using extracellular nerve electrodes and a wired interface to this device have 2.5-μVrms noise, comparable to commercial neural recording equipment.
Keywords :
bioelectric potentials; biomedical electrodes; biomedical telemetry; biosensors; circuit noise; data acquisition; dipole antennas; frequency shift keying; microcontrollers; neurophysiology; preamplifiers; radio links; radiotelemetry; random noise; 0 to 100 muV; 16 hour; 18 cm; 2.5 muV; 3 V; 5 kbit/s; 8 cm; Aplysia californica; FSK telemetry; biocompatible device; common sea slug; dipole antenna; extracellular nerve electrodes; extracellular neural signals; impedance matching; implantable neural recording device; lithium ion battery; microcontroller; neural data; neurodynamic studies; preamplifier; programmable control; programmable data acquisition; wireless multi-channel sensor; Biosensors; Data acquisition; Dipole antennas; Extracellular; Frequency shift keying; Lithium; Neurodynamics; Preamplifiers; Telemetry; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensors, 2004. Proceedings of IEEE
Print_ISBN :
0-7803-8692-2
Type :
conf
DOI :
10.1109/ICSENS.2004.1426320
Filename :
1426320
Link To Document :
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