Kim, Donghwi, Stanacevic, M. , Kamoua, R. , Mainen, Z. F. (2008) A low-power low-data-rate neural recording system with adaptive spike detection. 51st IEEE International Midwest Symposium on Circuits and Systems . pp. 822-825.
Abstract
A design of small, low-power, low-data rate, wireless 32-channel neural recording system for small animal head-stage is presented. A neural pre-amplifier has low-input-referred-noise of 1.95 muVrms and consumes 53.6 muW. To enable digital telemetry with optimized bandwidth under size and power constraint for small-animal headstage, we propose to separately record spikes and local-field potentials. An adaptive spike detector using absolute value algorithm accompanied with 7th-order all-pass delay filter provides accurate on-chip acquisition of spike waveform in duration of 2 ms. A low-power 10-bit and 5-bit resolution A/D converters running at 22 Ksamples/s for active spikes and 200 samples/s for local field potential, respectively, can be integrated with the proposed system. Using adaptive bandwidth control, we achieve reduction of data-rate up to seven times which provides compatibility to 1 Mbps ultra low power Bluetooth technology. Total power consumption of single channel excluding ADCs is 109.58 muW in 3.3 V power supply.
| Item Type: | Paper |
|---|---|
| Additional Information: | Meeting abstract |
| Subjects: | Investigative techniques and equipment Publication Type > Meeting Abstract |
| CSHL Authors: | |
| Communities: | CSHL labs > Mainen lab |
| Depositing User: | Matt Covey |
| Date: | 2008 |
| Date Deposited: | 26 Feb 2013 17:12 |
| Last Modified: | 19 Mar 2018 16:01 |
| URI: | https://repository.cshl.edu/id/eprint/27562 |
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