DocumentCode :
628867
Title :
Capacitive detuning optimization for wireless uplink communication in neural implants
Author :
Yilmaz, Gurkan ; Dehollain, Catherine
Author_Institution :
RFIC Res. Group, Ecole Polytech. Fed. de Lausanne, Lausanne, Switzerland
fYear :
2013
fDate :
13-14 June 2013
Firstpage :
45
Lastpage :
50
Abstract :
This study presents a wireless energy and data transfer system for neural implants with an emphasis on epilepsy monitoring. A wireless uplink data transmission system is built upon a remote powering system based on magnetic coupling which has been implemented previously. Uplink communication from the implant unit to the external base station is realized by shifting the resonance frequency of the load coil in the implant side. Effect of different detuning capacitances on power transfer efficiency and energy per bit is investigated. The in-vitro measurements of the system exhibits 32% power transfer efficiency while transferring 1 Mbit/s data from 10 mm distance at 8.5 MHz using a detuning capacitance of 120 pF. Furthermore, an optimization based on data rate, energy per bit, and power transfer efficiency has been proposed for the resonance frequency shift keying method.
Keywords :
biomedical measurement; biomedical telemetry; data communication; frequency shift keying; bit rate 1 Mbit/s; capacitance 120 pF; capacitive detuning optimization; data transfer system; distance 10 mm; epilepsy monitoring; external base station; frequency 8.5 MHz; in-vitro measurements; magnetic coupling; neural implants; power transfer efficiency; remote powering system; resonance frequency shift keying method; wireless energy; wireless uplink communication; wireless uplink data transmission system; Capacitance; Coils; Demodulation; Implants; Uplink; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Sensors and Interfaces (IWASI), 2013 5th IEEE International Workshop on
Conference_Location :
Bari
Print_ISBN :
978-1-4799-0039-8
Type :
conf
DOI :
10.1109/IWASI.2013.6576069
Filename :
6576069
Link To Document :
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