A new spike detection algorithm for extracellular neural recordings

IEEE Transactions on Biomedical Engineering

Volumn 57, Issue 4, 2010, Pages 853-866

  Shahid, Shahjahan ^a   Walker, Jacqueline ^b   Smith, Leslie S ^c  

^a UNIVERSITY OF ULSTER   (United Kingdom)

^b UNIVERSITY OF LIMERICK   (Ireland)

^c UNIVERSITY OF STIRLING   (United Kingdom)

Author keywords

Action potential; Cepstrum of bispectrum (CoB); Extracellular recording; Higher order statistics (HOS); Inverse filtering; Spike detection

Indexed keywords

BLIND EQUALIZATION; LOCOMOTIVES; NEURONS; RAILROAD CARS; SIGNAL ANALYSIS;

ACTION POTENTIALS; BISPECTRUM; CEPSTRUM; EXTRACELLULAR RECORDING; HIGHER ORDER STATISTICS; INVERSE FILTERING; SPIKE DETECTION;

SIGNAL DETECTION;

ALGORITHM; ARTICLE; CEPSTRUM OF BISPECTRUM; MATHEMATICAL MODEL; NERVE CONDUCTION; NERVE POTENTIAL; NEUROPHYSIOLOGY; SIGNAL NOISE RATIO; SPIKE WAVE; STATISTICAL ANALYSIS; ACTION POTENTIAL; BIOLOGICAL MODEL; COMPUTER SIMULATION; FOURIER ANALYSIS; NERVE CELL; PHYSIOLOGY; RECEIVER OPERATING CHARACTERISTIC; SIGNAL PROCESSING;

ACTION POTENTIALS; ALGORITHMS; COMPUTER SIMULATION; FOURIER ANALYSIS; MODELS, NEUROLOGICAL; NEURONS; ROC CURVE; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 77950274721     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2009.2026734     Document Type: Article

References (39)

1. L. S. Smith and N. Mtetwa, "A tool for synthesizing spike trains with realistic interference," J. Neurosci. Methods, vol.159, no.1, pp. 170- 180, 2007.
2. G. R. Holt and C. Koch, "Electrical interactions via the extracellular potential near cell bodies," J. Comput. Neurosci., vol.6, no.2, pp. 169- 184, 1999.
3. R. Chandra and L. Optican, "Detection, classification, and superposition resolution of action potentials in multiunit single-channel recordings by an on-line real-time neural network," IEEE Trans. Biomed. Eng., vol.44, no.5, pp. 403-412, May 1997.
4. Z. Nenadic and J. Burdick, "Spike detection using continuous wavelet transform," IEEE Trans. Biomed. Eng., vol.52, no.1, pp. 74-87, Jan. 2005.
5. S. Bierer and D. Anderson, "Multichannel spike detection and sorting using an array processing technique," Neurocomputing, vol.26/27, pp. 947- 956, 1999.
6. E. M. Schmidt, "Computer separation of multi-unit neuroelectric data: A review," J. Neurosci. Methods, vol.12, no.2, pp. 95-111, 1984.
7. H. Bergman and M. DeLong, "A personal computer-based spike detector and sorter: Implementation and evaluation," J. Neurosci. Methods, vol.41, pp. 187-197, 1992.
8. R. Harrison, "A low-power integrated circuit for adaptive detection of action potentials in noisy signals," in Proc. Int. Conf. IEEE EMBC, 2003, vol.4, pp. 3325-3328.
9. L. Smith, S. Shahid, A. Vernier, and N. Mtetwa, "Finding events in noisy signals," in Proc. Irish Signals Syst. Conf., 2007, pp. 31-35.
10. T. Borghi, R. Gusmerol, A. S. Spinelli, and G. Baranauskas, "A simple method for efficient spike detection in multiunit recordings," J. Neurosci. Methods, vol.163, no.1, pp. 176-180, 2007.
11. I. Obeid and P. Wolf, "Evaluation of spike detection algorithms for a brain-machine interface application," IEEE Trans. Biomed. Eng., vol.51, no.6, pp. 905-911, Jun. 2004.
12. A. F. Atiya, "Recognition of multiunit neural signals," IEEE Trans. Biomed. Eng, vol.39, no.7, pp. 723-729, Jul. 1992.
13. J. Kaiser, "On a simple algorithm to calculate the 'energy' of a signal," in Proc. Int. Conf. IEEE ASSP, 1990, vol.1, pp. 381-384.
14. K. Kim and S. Kim, "Neural spike sorting under nearly 0-db signal-tonoise ratio using nonlinear energy operator and artificial neural-network classifier," IEEE Trans. Biomed. Eng., vol.47, no.10, pp. 1406-1411, Oct. 2000.
15. P. Maragos, J. Kaiser, and T. F. Quatieri, "On amplitude and frequency demodulation using energy operators," IEEE Trans. Signal Process., vol.41, no.4, pp. 1532-1550, Apr. 1993.
16. S. Mukhopadhyay and G. Ray, "A new interpretation of the nonlinear energy operator and its efficacy in spike detection," IEEE Trans. Biomed. Eng., vol.45, no.2, pp. 180-187, Feb. 1998.
17. P. Garćia, C. P. Súarez, J. Rodŕiguez, and M. Rodŕiguez, "Unsupervised classification of neural spikes with a hybrid multilayer artificial neural network," J. Neurosci. Methods, vol.82, no.1, pp. 59-73, 1998.
18. G. Xu, J. Wang, Q. Zhang, S. Zhang, and J. Zhu, "A spike detection method in EEG based on improved morphological filter," Comput. Biol. Med., vol.37, no.11, pp. 1647-1652, 2007.
19. R. Gonzalez and P. Wintz, Digital Image Processing, 2nd ed. Reading, MA: Addison-Wesley, 1987.
20. A. Abeles and M. Goldstein, "Multispike train analysis," Proc. IEEE, vol.65, no.5, pp. 762-773, May 1977.
21. E. Goodall and K. Horch, "Separation of action potentials in multiunit intrafascicular recordings," IEEE Trans. Biomed. Eng., vol.39, no.3, pp. 289-295, Mar. 1992.
22. C. Olson, "Maximum-likelihood template matching," in Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit., 2000, pp. 52-57.
23. N. Mtetwa and L. S. Smith, "Smoothing and thresholding in neuronal spike detection," Neurocomputing, vol.69, no.10-12, pp. 1366-1370, 2006.
24. H. Kaneko, S. Suzuki, J. Okada, and M. Akamatsu, "Multineuronal spike classification based on multisite electrode recording, whole-waveform analysis, and hierarchical clustering," IEEE Trans. Biomed. Eng., vol.46, no.3, pp. 280-290, Mar. 1999.
25. C. Olson, "Maximum-likelihood image matching," IEEE Trans. Pattern Anal. Mach. Intell., vol.24, no.6, pp. 853-857, Jun. 2002.
26. X.Yang and S. Shamma, "Atotally automated system for the detection and classification of neural spikes," IEEE Trans. Biomed. Eng., vol.BME-35, no.10, pp. 806-816, Oct. 1988.
27. G. Zouridakis and D. Tam, "Multi-unit spike discrimination using wavelet transforms," Comput. Biol. Med., vol.27, pp. 9-18, 1997.
28. J. Letelier and P.Wever, "Spike sorting based on discretewavelet transform coefficients," J. Neurosci. Methods, vol.101, no.2, pp. 93-106, 2000.
29. K. Kim and S. Kim, "A wavelet-based method for action potential detection from extracellular neural signal recording with low signal-to-noise ratio," IEEE Trans. Biomed. Eng., vol.50, no.8, pp. 999-1011, Aug. 2003.
30. S. Shahid and J. Walker, "Cepstrum of bispectrum-A new approach to blind system reconstruction," Signal Process., vol.88, no.1, pp. 19-32, 2008.
31. S. Shahid and L. S. Smith, "A novel technique for spike detection in extracellular neurophysiological recordings using cepstrum of bispectrum," in Proc. Eur. Signal Process. Conf., 2008, pp. 19-32.
32. D. Henze, Z. Borhegyi, J.Csicsvari,A.Mamiya, K. Harris, andG.Buzsaki, "Intracellular features predicted by extracellular recordings in the hippocampus in vivo," J. Neurophysiol., vol.84, pp. 390-400, 2000.
33. S. Shahid, J. Walker, G. Lyons, C. Byrne, and A. Nene, "Application of higher order statistics techniques to EMG signals to characterize the motor unit action potential," IEEE Trans. Biomed. Eng., vol.52, no.7, pp. 1195-1209, Jul. 2005.
34. A. Papoulis and A. Pillai, Probability, Random Variables and Stochastic Processes, 4th ed. New York: McGraw-Hill, 2002.
35. C. Nikias and M. Raghuveer, "Bispectrum estimation: A digital signal processing framework," Proc. IEEE, vol.75, no.7, pp. 869-891, Jul. 1987.
36. Wavelet Toolbox User's Guide. The MathWorks, Inc.,Natick,MA,Version 3, 2006.
37. R. Quiroga, Z. Nadasdy, and Y. Ben-Shaul, "Unsupervised spike detection and sorting with wavelets and superparamagnetic clustering," Neural Comput., vol.16, pp. 1661-1687, 2004.
38. T. Fawcett, "An introduction to ROC analysis," Pattern Recognit. Lett., vol.27, no.8, pp. 861-874, 2006.
39. C. Nikias and J. Mendel, "Signal processing with higher-order spectra," IEEE Signal. Proc. Mag., vol.10, no.3, pp. 10-37, Jul. 1993.