Title :
Using Pulse Width Modulation for Wireless Transmission of Neural Signals in Multichannel Neural Recording Systems
Author :
Yin, Ming ; Ghovanloo, Maysam
Author_Institution :
Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
Abstract :
We have used a well-known technique in wireless communication, pulse width modulation (PWM) of time division multiplexed (TDM) signals, within the architecture of a novel wireless integrated neural recording (WINeR) system. We have evaluated the performance of the PWM-based architecture and indicated its accuracy and potential sources of error through detailed theoretical analysis, simulations, and measurements on a setup consisting of a 15-channel WINeR prototype as the transmitter and two types of receivers; an Agilent 89600 vector signal analyzer and a custom wideband receiver, with 36 and 75 MHz of maximum bandwidth, respectively. Furthermore, we present simulation results from a realistic MATLAB-Simulink model of the entire WINeR system to observe the system behavior in response to changes in various parameters. We have concluded that the 15-ch WINeR prototype, which is fabricated in a 0.5-mum standard CMOS process and consumes 4.5 mW from plusmn1.5 V supplies, can acquire and wirelessly transmit up to 320 k-samples/s to a 75-MHz receiver with 8.4 bits of resolution, which is equivalent to a wireless data rate of ~ 2.56 Mb/s.
Keywords :
CMOS integrated circuits; bioelectric phenomena; biology computing; mathematics computing; medical signal processing; neurophysiology; receivers; transmitters; Agilent 89600 vector signal analyzer; CMOS process; WINeR system; frequency 36 MHz to 75 MHz; multichannel neural recording systems; neural signals; power 4.5 mW; pulse width modulation; realistic MATLAB-Simulink model; size 0.5 mum; transmitter; wideband receiver; wireless communication; wireless transmission; Frequency shift keying; implantable microelectronic devices; neural interfacing; pulse width modulation; telemetry; time division multiplexing; Action Potentials; Amplifiers, Electronic; Electric Power Supplies; Equipment Design; Equipment Failure Analysis; Miniaturization; Nerve Net; Pattern Recognition, Automated; Reproducibility of Results; Semiconductors; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Telemetry;
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
DOI :
10.1109/TNSRE.2009.2023302