Low power, wavelet-based spike detector

Details Low power, wavelet-based spike detector Low power, wavelet-based spike detector

2011-06-21

2011-06-21

Tran, Khai (Department: 2611)

Pulse or digital communications

Pulse code modulation

Reexamination Certificate

active

07965779

ABSTRACT:
A multi-scale spike detector for performing multi-resolution spike detections of a signal is provided. The spike detector includes a gamma filter having cascaded low-pass filters. The cascaded filters collectively provide different cutoff frequencies, each of the filters having a respective output. One of the filters has an input, at which the signal is received. The spike detector further includes combining circuitry that combines at least some of the respective outputs of the cascaded filters. The differences formed from this combining provide a waveform representation of the input signal. The waveform representation consists essentially of spikes that occur in the signal.

REFERENCES:
patent: 4692909 (1987-09-01), Gard et al.
patent: 5845243 (1998-12-01), Smart et al.
patent: 6868348 (2005-03-01), Stoutenburg et al.
patent: 2005/0090756 (2005-04-01), Wolf et al.
patent: 2006/0200035 (2006-09-01), Ricci et al.
Rogers et al, An analog VLSI implementation of a multi-scale spike detection algorithm for extracellular neural recordings, Neural Eng., Conference Proceedings. 2nd Int'l IEEE EMBS Conference, Mar. 16-19, 2005, pp. 213-216.
Jui-Kuo Juan et al., Locally recurrent networks with multiple time-scales, Intl. Work. on Neural Networks for Signal Processing, vol. , No. , pp. 645-653, Sep. 1997.
Gosselin et al., Low-power implantable microsystem intended to multichannel cortical recording, Circuits and Systems, Proceedings of the 2004 International Symposium, Vancouver, BC, Canada, vol. 4, May 23-26, 2004, pp. 5-8.
The International Search Report and Written Opinion dated Apr. 9, 2007.
Rogers, et al., “An Analog VLSI Implementation of a Multi-Scale Spike Detection Algorithm for Extracellular Neural Recordings,” Neural Engineering, 2005, Conference Proceedings, 2nd International IEEE EMBS Conference in Arlington, VA, Mar. 16-19, 2005 pp. 213-216.
Gosselin, et al., “Low-Power Implantable Microsystem Intended to Multichannel Cortical Recording,” Circuits and Systems, 2004 Proceedings of the 2004 International Symposium in Vancouver, BC May 23-26, 2004, pp. 5-8.
Juan, et al., “Locally Recurrent Networks with Multiple Time-Scales” Neural Networks for Signal Processing Y1997 VII Proceedings of the 1997 IEEE Workshop Amelia Island, FL, Sep. 24-26, pp. 645-653.
Lewicki, “A Review of Methods for Spike Sorting: The Detection and Classification of Neural Action Potentials,” Computation and Neural Systems, vol. 9, pp. R53-R78, 1998.
Nenadic, et al., “Spike Detection Using the Continuous Wavelet Transform” IEEE Transactions on Biomedical Engineering. vol. 52, No. 1, pp. 74-87, Jan. 2005.
Rogers, et al., “A Low-Power Analog Spike Detector for Extracellular Neural Recordings” Int'l Conf. IEEE Electronics, Circuits and Systems, Tel-Aviv, Israel Dec. 2004.
Chen, et al., An Analog VLSI Circuit Implementing an Orthogonal Continuous Wavelet Transform, IEEE Int. Conf. on Electronics, Circuits and Systems, vol. 2, Sep. 1998.

Affiliated with

Also associated with

Rating

Low power, wavelet-based spike detector does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Low power, wavelet-based spike detector, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Low power, wavelet-based spike detector will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-2718499