Title :
Data communication and power system for wireless neural recording
Author :
De Venuto, Daniela ; Rabaey, Jan M.
Author_Institution :
DEI, Politec. di Bari, Bari, Italy
Abstract :
An RFID reader collecting neural data from implanted electrodes of an electro-corticography ECoG system is proposed. The system also is able to power an implant using a class E power amplifier (PA) while it receives data by an asynchronous demodulation. A standard 65nm CMOS TSMC technology is used. Simulations reveal an average power consumption of the overall system of 19 mW with on a 1.2V supply a 300MHz carrier frequency. The data transmission is 1MHz and a bit error rate (BER) of 0.3% is evaluated.
Keywords :
CMOS integrated circuits; bioelectric potentials; biomedical electrodes; biomedical electronics; data communication; electroencephalography; neurophysiology; power amplifiers; radiofrequency identification; telemedicine; CMOS TSMC technology; ECoG system; RFID reader; asynchronous demodulation; average power consumption; bit error rate evaluation; data communication; electrocorticography system; electrode implant; neural data collection; power amplifier; power system; size 65 nm; wireless neural recording; CMOS integrated circuits; Electrodes; Envelope detectors; Implants; Radiofrequency identification; Simulation; Synchronization;
Conference_Titel :
Emerging Technologies & Factory Automation (ETFA), 2013 IEEE 18th Conference on
Conference_Location :
Cagliari
Print_ISBN :
978-1-4799-0862-2
DOI :
10.1109/ETFA.2013.6648144
