Title :
An Integrated System for Multichannel Neuronal Recording With Spike/LFP Separation, Integrated A/D Conversion and Threshold Detection
Author :
Perelman, Yevgeny ; Ginosar, Ran
Author_Institution :
Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa
Abstract :
A mixed-signal front-end processor for multichannel neuronal recording is described. It receives 12 differential-input channels of implanted recording electrodes. A programmable cutoff High Pass Filter (HPF) blocks dc and low-frequency input drift at about 1 Hz. The signals are band-split at about 200 Hz to low-frequency Local Field Potential (LFP) and high-frequency spike data (SPK), which is band limited by a programmable-cutoff LPF, in a range of 8-13 kHz. Amplifier offsets are compensated by 5-bit calibration digital-to-analog converters (DACs). The SPK and LFP channels provide variable amplification rates of up to 5000 and 500, respectively. The analog signals are converted into 10-bit digital form, and streamed out over a serial digital bus at up to 8 Mbps. A threshold filter suppresses inactive portions of the signal and emits only spike segments of programmable length. A prototype has been fabricated on a 0.35-mum CMOS process and tested successfully, demonstrating a 3-muV noise level. Special interface system incorporating an embedded CPU core in a programmable logic device accompanied by real-time software has been developed to allow connectivity to a computer host
Keywords :
CMOS integrated circuits; bioelectric potentials; digital-analogue conversion; field programmable gate arrays; high-pass filters; medical computing; microelectrodes; neurophysiology; prosthetics; satellite computers; 0.35 mum; 3 muV; 8 to 13 kHz; CMOS; digital-to-analog converters; high-frequency spike data; implanted recording electrodes; integrated A/D conversion; low-frequency local field potential; mixed-signal front-end processor; multichannel neuronal recording; programmable cutoff high pass filter; programmable logic device; spike-LFP separation; threshold detection; Band pass filters; CMOS process; Calibration; Digital-analog conversion; Electrodes; Noise level; Programmable logic devices; Prototypes; Software prototyping; Testing; ADC; frontend; neural amplifier; neural recording; Action Potentials; Amplifiers; Analog-Digital Conversion; Animals; Cerebral Cortex; Differential Threshold; Electroencephalography; Equipment Design; Equipment Failure Analysis; Neurons; Rats; Signal Processing, Computer-Assisted; Systems Integration;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2006.883732