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Volumn , Issue JULY, 2011, Pages

Wavelet transform for real-time detection of action potentials in neural signals

Author keywords

Action potential; Real time processing; Spike detection; Spiking neurons; Threshold detection; Wavelet transform

Indexed keywords

ADAPTIVE THRESHOLD; ALGORITHM; ARTICLE; BRAIN FUNCTION; COMPUTER PROGRAM; CONTROLLED STUDY; DISCRETE WAVELET TRANSFORM; ELECTROENCEPHALOGRAM; INFORMATION PROCESSING; INTEGRATED CIRCUIT; NERVE POTENTIAL; NONHUMAN; SIGNAL PROCESSING; STATIONARY WAVELET TRANSFORM; WAVELET ANALYSIS;

EID: 84855511210     PISSN: 16626443     EISSN: None     Source Type: Journal    
DOI: 10.3389/fneng.2011.00007     Document Type: Article
Times cited : (25)

References (58)
  • 2
    • 0033559399 scopus 로고    scopus 로고
    • Cellular mechanisms contributing to response variability of cortical neurons in vivo
    • Azouz, R., and Gray, C. M. (1999). Cellular mechanisms contributing to response variability of cortical neurons in vivo. J. Neurosci. Methods 19, 2209-2223.
    • (1999) J. Neurosci. Methods , vol.19 , pp. 2209-2223
    • Azouz, R.1    Gray, C.M.2
  • 3
    • 28044463665 scopus 로고    scopus 로고
    • Oscillation in the basal ganglia: The good the bad, and the unexpected
    • in, eds J. P. Bolam, C. A. Ingham, and P. J. Magill (New York, NY: Springer Science and Business Media)
    • Boraud, T., Brown, P., Joshua, A., Goldberg, J. A., Graybiel, A. M., and Magill, P. J. (2005). "Oscillation in the basal ganglia: the good, the bad, and the unexpected, " in The Basal Ganglia VIII, eds J. P. Bolam, C. A. Ingham, and P. J. Magill (New York, NY: Springer Science and Business Media), 632.
    • (2005) The Basal Ganglia VIII , pp. 632
    • Boraud, T.1    Brown, P.2    Joshua, A.3    Goldberg, J.A.4    Graybiel, A.M.5    Magill, P.J.6
  • 4
    • 2142765521 scopus 로고    scopus 로고
    • Multiple neural spike data analysis: State-of-the-art and future challenges
    • Brown, E. N., Kass, R. E., and Mitra, P. P. (2004). Multiple neural spike data analysis: state-of-the-art and future challenges. Nat. Neurosci. 7, 4456-4461.
    • (2004) Nat. Neurosci. , vol.7 , pp. 4456-4461
    • Brown, E.N.1    Kass, R.E.2    Mitra, P.P.3
  • 5
    • 0141427959 scopus 로고    scopus 로고
    • An image processing system dedicated to cortical visual stimulators
    • Buffoni, L. X., Coulombe, J., and Sawan, M. (2003). An image processing system dedicated to cortical visual stimulators. IEEE CCECE 3, 1497-1500.
    • (2003) IEEE CCECE , vol.3 , pp. 1497-1500
    • Buffoni, L.X.1    Coulombe, J.2    Sawan, M.3
  • 7
    • 0030893232 scopus 로고    scopus 로고
    • Detection, classification, and superposition resolution of action potentials in multiunit singlechannel recordings by an on-line real-time neural network
    • Cao, S. (1997). Detection, classification, and superposition resolution of action potentials in multiunit singlechannel recordings by an on-line real-time neural network. IEEE Trans. Biomed. Eng. 44, 403-412.
    • (1997) IEEE Trans. Biomed. Eng. , vol.44 , pp. 403-412
    • Cao, S.1
  • 9
    • 0030893232 scopus 로고    scopus 로고
    • Detection, classification, and superposition resolution of action potentials in multiunit single-channel recordings by an online real-time neural network
    • Chandra, R., and Optican, L. M. (1997). Detection, classification, and superposition resolution of action potentials in multiunit single-channel recordings by an online real-time neural network. IEEE Trans. Biomed. Eng. 44, 403-412.
    • (1997) IEEE Trans. Biomed. Eng. , vol.44 , pp. 403-412
    • Chandra, R.1    Optican, L.M.2
  • 10
    • 0002001578 scopus 로고
    • Translation-invariant denoising
    • Coifman, R. R., and Donoho, D. L. (1995). Translation-invariant denoising. Lect. Notes Stat. 103, 125-150.
    • (1995) Lect. Notes Stat. , vol.103 , pp. 125-150
    • Coifman, R.R.1    Donoho, D.L.2
  • 11
    • 0000186542 scopus 로고
    • Wavelet analysis and signal processing
    • in, ed. B. Ruskai (New York, NY: Jones and Barlett)
    • Coifman, R. R., Meyer, Y., and Wickerhauser, M. V. (1992). "Wavelet analysis and signal processing, " in Wavelets and their Applications, ed. B. Ruskai (New York, NY: Jones and Barlett) 125-150.
    • (1992) Wavelets and their Applications , pp. 125-150
    • Coifman, R.R.1    Meyer, Y.2    Wickerhauser, M.V.3
  • 12
    • 0003833285 scopus 로고
    • Philadelphia, PA: Society for Industrial and Applied Mathematics
    • Daubechies, I. (1992). Ten Lectures on Wavelets. Philadelphia, PA: Society for Industrial and Applied Mathematics.
    • (1992) Ten Lectures on Wavelets.
    • Daubechies, I.1
  • 13
    • 0000370306 scopus 로고
    • Nonlinear wavelet methods for recovery of signals, densities, and spectra from indirect and noisy data
    • Donoho, D. L. (1994). Nonlinear wavelet methods for recovery of signals, densities, and spectra from indirect and noisy data. Proc. Sympos. Appl. Math. 173-205.
    • (1994) Proc. Sympos. Appl. Math. , pp. 173-205
    • Donoho, D.L.1
  • 14
    • 0030480277 scopus 로고    scopus 로고
    • Variabilityofextracellular spike waveforms of cortical neurons
    • Fee, M. S., Mitra, P. P., and Kleinfeld, D. (1996). Variabilityofextracellular spike waveforms of cortical neurons. J. Neurophysiol. 76, 3823-3833.
    • (1996) J. Neurophysiol. , vol.76 , pp. 3823-3833
    • Fee, M.S.1    Mitra, P.P.2    Kleinfeld, D.3
  • 16
    • 0037706902 scopus 로고    scopus 로고
    • Realtime bioelectrical data and processing from 128 channels utilizing the wavelet-transformation
    • Folkers, A., Mosch, F., Malina, T., and Hofmann, U. G. (2003). Realtime bioelectrical data and processing from 128 channels utilizing the wavelet-transformation. Neurocomputing 52-54, 247-254.
    • (2003) Neurocomputing , vol.52-54 , pp. 247-254
    • Folkers, A.1    Mosch, F.2    Malina, T.3    Hofmann, U.G.4
  • 17
    • 51749106322 scopus 로고    scopus 로고
    • An ultra low-power CMOS action potential detector
    • Gosselin, B., and Sawan, M. (2008). An ultra low-power CMOS action potential detector. IEEE Circuits Syst. 1, 2733-2736.
    • (2008) IEEE Circuits Syst. , vol.1 , pp. 2733-2736
    • Gosselin, B.1    Sawan, M.2
  • 18
    • 69249141469 scopus 로고    scopus 로고
    • An ultra low-power CMOS automatic action potential detector
    • Gosselin, B., and Sawan, M. (2009). An ultra low-power CMOS automatic action potential detector. IEEE Trans. Neural Syst. Rehabil. Eng. 17, 346-353.
    • (2009) IEEE Trans. Neural Syst. Rehabil. Eng. , vol.17 , pp. 346-353
    • Gosselin, B.1    Sawan, M.2
  • 19
    • 1542360497 scopus 로고    scopus 로고
    • "A low-power integrated circuit for adaptive detection of action potentials in noisy signals, " Engineering in Medicine and Biology Society
    • in, Seattle, WA
    • Harrison, R. R. (2003). "A low-power integrated circuit for adaptive detection of action potentials in noisy signals, " Engineering in Medicine and Biology Society, in Proceedings of the 25th Annual International Conference of the IEEE, Seattle, WA, Vol. 4, 3325-3328.
    • (2003) Proceedings of the 25th Annual International Conference of the IEEE , vol.4 , pp. 3325-3328
    • Harrison, R.R.1
  • 22
    • 0012939045 scopus 로고    scopus 로고
    • A wavelet-based method for action potential detection from extracellular neural signal recording with low signal-to-noise ratio
    • Hwan, K. K., and June, K. S. (2003). A wavelet-based method for action potential detection from extracellular neural signal recording with low signal-to-noise ratio. IEEE Trans. Biomed. Eng. 50, 999-1011.
    • (2003) IEEE Trans. Biomed. Eng. , vol.50 , pp. 999-1011
    • Hwan, K.K.1    June, K.S.2
  • 25
    • 0012939045 scopus 로고    scopus 로고
    • A wavelet-based method for action potential detection from extracellular neural signal recording with low signal-to-noise ratio
    • Kim, K. H., and Kim, S. J. (2003). A wavelet-based method for action potential detection from extracellular neural signal recording with low signal-to-noise ratio. IEEE Trans. Biomed. Eng. 3, 277-283.
    • (2003) IEEE Trans. Biomed. Eng. , vol.3 , pp. 277-283
    • Kim, K.H.1    Kim, S.J.2
  • 26
    • 1542375343 scopus 로고    scopus 로고
    • Wavelet-basedprocessing of neuronal spike trains prior to discriminant analysis
    • Laubach, M.(2004). Wavelet-basedprocessing of neuronal spike trains prior to discriminant analysis. J. Neurosci. Methods 134, 159-168.
    • (2004) J. Neurosci. Methods , vol.134 , pp. 159-168
    • Laubach, M.1
  • 28
    • 0000960284 scopus 로고
    • Bayesian modeling and classification of neural signals
    • Lewicki, M. (1994). Bayesian modeling and classification of neural signals. Neural Comput. 6, 1005-1030.
    • (1994) Neural Comput. , vol.6 , pp. 1005-1030
    • Lewicki, M.1
  • 29
    • 0024700097 scopus 로고
    • A theory for multiresolution signal decomposition: The wavelet representation
    • Mallat, S. G. (1989). A theory for multiresolution signal decomposition: the wavelet representation. IEEE Trans. Pattern Anal. Mach. Intell. 11, 674-693.
    • (1989) IEEE Trans. Pattern Anal. Mach. Intell. , vol.11 , pp. 674-693
    • Mallat, S.G.1
  • 31
    • 79959989552 scopus 로고    scopus 로고
    • Comparison of discrete wavelet transform (DWT), lifting wavelet transform (LWT) stationary wavelet transform (SWT) and S-transform in power quality analysis
    • Manjunath, A., and Ravikumar, H. M. (2010). Comparison of discrete wavelet transform (DWT), lifting wavelet transform (LWT) stationary wavelet transform (SWT) and S-transform in power quality analysis. Eur. J. Sci. Res. 39, 569-576.
    • (2010) Eur. J. Sci. Res. , vol.39 , pp. 569-576
    • Manjunath, A.1    Ravikumar, H.M.2
  • 32
    • 0004198869 scopus 로고
    • Cambridge: Cambridge University Press
    • Meyer, Y. (1992). Wavelets and Operators. Cambridge: Cambridge University Press.
    • (1992) Wavelets and Operators
    • Meyer, Y.1
  • 34
    • 33646079388 scopus 로고    scopus 로고
    • Smoothing and thresholding in neuronal spike detection
    • Mtetwa, N., and Smith, L. S. (2006). Smoothing and thresholding in neuronal spike detection. Neurocomputing 69, 1366-1370.
    • (2006) Neurocomputing , vol.69 , pp. 1366-1370
    • Mtetwa, N.1    Smith, L.S.2
  • 36
    • 0034888136 scopus 로고    scopus 로고
    • Detection of nerve action potentials under low signal-to-noise ratio condition
    • Nakatani, H., Watanabe, T., and Hoshimiya, H. (2001). Detection of nerve action potentials under low signal-to-noise ratio condition. IEEE Trans. Biomed. Eng. 48, 845-849.
    • (2001) IEEE Trans. Biomed. Eng. , vol.48 , pp. 845-849
    • Nakatani, H.1    Watanabe, T.2    Hoshimiya, H.3
  • 37
    • 11244351526 scopus 로고    scopus 로고
    • Spike detection using the continuous wavelet transform
    • Nenadic, Z., and Burdick, J. W. (2005). Spike detection using the continuous wavelet transform. IEEE Trans. Biomed. Eng. 52, 74-87.
    • (2005) IEEE Trans. Biomed. Eng. , vol.52 , pp. 74-87
    • Nenadic, Z.1    Burdick, J.W.2
  • 38
    • 0004271245 scopus 로고    scopus 로고
    • 2nd Printing, Illustrated, Hardcover, Boston, MA: Birkhauser Boston Inc
    • Niervergelt, Y. (2001). Wavelets Made Easy, 2nd Printing, Illustrated, Hardcover, Boston, MA: Birkhauser Boston Inc.
    • (2001) Wavelets Made Easy
    • Niervergelt, Y.1
  • 39
    • 0037866386 scopus 로고    scopus 로고
    • Decoding neuronal spike trains: How important are correlations? Proc
    • Nirenberg, S., and E-Lathman, P. (2003). Decoding neuronal spike trains: how important are correlations? Proc. Natl. Acad. Sci. U.S.A. 100, 7348-7353.
    • (2003) Natl. Acad. Sci. U.S.A. , vol.100 , pp. 7348-7353
    • Nirenberg, S.1    E-Lathman, P.2
  • 40
    • 2442710346 scopus 로고    scopus 로고
    • Evaluation of spike-detection algorithms for a brain-machine interface application
    • Obeid, I., and Wolf, P. D. (2004). Evaluation of spike-detection algorithms for a brain-machine interface application. IEEE Trans. Biomed. Eng. 51, 905-911.
    • (2004) IEEE Trans. Biomed. Eng. , vol.51 , pp. 905-911
    • Obeid, I.1    Wolf, P.D.2
  • 41
    • 84997700580 scopus 로고    scopus 로고
    • A three-dimensional neural recording microsystem with implantable data compression circuitry
    • Olsson, R., and Wise, K. (2005). A three-dimensional neural recording microsystem with implantable data compression circuitry. Proc. Solid-State Int. Circuits Conf. 1, 558-559.
    • (2005) Proc. Solid-State Int. Circuits Conf. , vol.1 , pp. 558-559
    • Olsson, R.1    Wise, K.2
  • 42
    • 17644439440 scopus 로고    scopus 로고
    • Noise reduction in multichannel neural recordings using a new array wavelet denoising algorithm
    • Oweiss, K. G., and Anderson, D. J. (2001). Noise reduction in multichannel neural recordings using a new array wavelet denoising algorithm. Neurocomputing 38, 1687-1693.
    • (2001) Neurocomputing , vol.38 , pp. 1687-1693
    • Oweiss, K.G.1    Anderson, D.J.2
  • 43
    • 83755229684 scopus 로고    scopus 로고
    • Detection of action potentials in the presence of noise using phase-space techniques
    • Paterson, C., Curry, R., Purvis, A., and Johnson, S. (2008). Detection of action potentials in the presence of noise using phase-space techniques. Proc. World Acad. Sci. Eng. Technol. 34, 77-79.
    • (2008) Proc. World Acad. Sci. Eng. Technol. , vol.34 , pp. 77-79
    • Paterson, C.1    Curry, R.2    Purvis, A.3    Johnson, S.4
  • 45
    • 0039772027 scopus 로고    scopus 로고
    • Wavelets: A new alternative to Fourier transforms
    • Phillies, G. D. J., Gould, H., and Tobochnik, J. (1996). Wavelets: a new alternative to Fourier transforms. Comput. Phys. 10, 247-252.
    • (1996) Comput. Phys. , vol.10 , pp. 247-252
    • Phillies, G.D.J.1    Gould, H.2    Tobochnik, J.3
  • 46
    • 0037207286 scopus 로고    scopus 로고
    • Using noise signature to optimize spike-sorting and to assess neuronal classification quality
    • Pouzat, C., Mazor, O., and Laurent, G. (2002). Using noise signature to optimize spike-sorting and to assess neuronal classification quality. J. Neurosci. Methods 122, 43-57.
    • (2002) J. Neurosci. Methods , vol.122 , pp. 43-57
    • Pouzat, C.1    Mazor, O.2    Laurent, G.3
  • 47
    • 3042526258 scopus 로고    scopus 로고
    • Unsupervised spike detection and sorting with wavelets and superparamagnetic clustering
    • Quiroga, R. Q., Nadasdy, Z., and Ben-Shaul, Y. (2004). Unsupervised spike detection and sorting with wavelets and superparamagnetic clustering. Neural Comput. 16, 1661-1687.
    • (2004) Neural Comput. , vol.16 , pp. 1661-1687
    • Quiroga, R.Q.1    Nadasdy, Z.2    Ben-Shaul, Y.3
  • 49
    • 80055057031 scopus 로고    scopus 로고
    • Neuroengineering tools/applications for bidirectional interfaces, brain computer interfaces, and neuroprosthetic implants-a review of recent progress
    • doi: 10.3389/fneng.2010.00112
    • Rothschild, R. M. (2010). Neuroengineering tools/applications for bidirectional interfaces, brain computer interfaces, and neuroprosthetic implants-a review of recent progress. Front. Neuroeng. 3:112. doi: 10.3389/fneng.2010.00112
    • (2010) Front. Neuroeng. , vol.3 , pp. 112
    • Rothschild, R.M.1
  • 50
    • 0343710717 scopus 로고    scopus 로고
    • On the separation of signals from neighboring cells in tetrode recordings
    • Sahani, M., Pezaris, J. S., and Andersen, R. A. (1998). On the separation of signals from neighboring cells in tetrode recordings. Adv. Neural Inf. ProcessSyst. 10, 222-228.
    • (1998) Adv. Neural Inf. ProcessSyst. , vol.10 , pp. 222-228
    • Sahani, M.1    Pezaris, J.S.2    Andersen, R.A.3
  • 53
    • 0032388955 scopus 로고
    • Theliftingscheme: A construction of second generation wavelets
    • Sweldens, W.(1995). Theliftingscheme: a construction of second generation wavelets. SIAM J. Math. Anal. 2, 511-546.
    • (1995) SIAM J. Math. Anal. , vol.2 , pp. 511-546
    • Sweldens, W.1
  • 54
    • 0030127507 scopus 로고    scopus 로고
    • A review of wavelets in biomedical applications
    • Unser, M., and Aldroubi, A. (1996). A review of wavelets in biomedical applications. Proc. IEEE 4, 626-638.
    • (1996) Proc. IEEE , vol.4 , pp. 626-638
    • Unser, M.1    Aldroubi, A.2
  • 55
    • 11144314777 scopus 로고    scopus 로고
    • "Validation of adaptive threshold spike detector for neural recording, " Engineering in Medicine and Biology Society, 2004, IEMBS' 04
    • in, San Francisco, CA
    • Watkins, P. T., Santhanam, G., Shenoy, K. V., and Harrison, R. R. (2004). "Validation of adaptive threshold spike detector for neural recording, " Engineering in Medicine and Biology Society, 2004, IEMBS' 04, in 26th Annual International Conference of the IEEE, Vol. 2, San Francisco, CA, 4079-4082.
    • (2004) 26th Annual International Conference of the IEEE , vol.2 , pp. 4079-4082
    • Watkins, P.T.1    Santhanam, G.2    Shenoy, K.V.3    Harrison, R.R.4
  • 58
    • 79952404951 scopus 로고    scopus 로고
    • Adaptive threshold spike detection using stationary wavelet transform for neural recording implants
    • Paphos
    • Yuning, Y., Kamboh, A., and Andrew, J. M. (2010). Adaptive threshold spike detection using stationary wavelet transform for neural recording implants. IEEE Biomed. Circuits Syst. Conf. (BioCAS), Paphos, 9-12.
    • (2010) IEEE Biomed. Circuits Syst. Conf. (BioCAS) , pp. 9-12
    • Yuning, Y.1    Kamboh, A.2    Andrew, J.M.3


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