On the use of wavelet denoising and spike sorting techniques to process electroneurographic signals recorded using intraneural electrodes

Journal of Neuroscience Methods

Volumn 172, Issue 2, 2008, Pages 294-302

  Citi, Luca ^a,b   Carpaneto, Jacopo ^a   Yoshida, Ken ^c,d   Hoffmann, Klaus Peter ^e   Koch, Klaus Peter ^e   Dario, Paolo ^a   Micera, Silvestro ^a  

^a SCUOLA SUPERIORE SANT ANNA   (Italy)

^b IMT SCHOOL FOR ADVANCED STUDIES LUCCA   (Italy)

^c AALBORG UNIVERSITY   (Denmark)

^d Indiana University Purdue University Indianapolis   (United States)

^e FRAUNHOFER INSTITUTE FOR BIOMEDICAL ENGINEERING   (Germany)

Author keywords

Bio robotics; Bionics; Cybernetic prostheses; ENG signals; Intraneural interfaces; Neuro robotics; Neuroprostheses; Spike sorting

Indexed keywords

ANIMAL EXPERIMENT; ARTICLE; CONTROLLED STUDY; DEVICE; ELECTRODE; ELECTRONEUROGRAPHY; FEMALE; FILM; IMPLANT; MEDICAL INSTRUMENTATION; NONHUMAN; PRIORITY JOURNAL; PROSTHESIS; RABBIT; SCIATIC NERVE; SENSORY STIMULATION; SPIKE WAVE;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; ARTIFACTS; ELECTRODES, IMPLANTED; ELECTROPHYSIOLOGY; EVOKED POTENTIALS, SOMATOSENSORY; FEMALE; NEURAL CONDUCTION; NEUROPHYSIOLOGY; PERIPHERAL NERVES; PROSTHESES AND IMPLANTS; RABBITS; SCIATIC NERVE; SIGNAL PROCESSING, COMPUTER-ASSISTED; USER-COMPUTER INTERFACE;

EID: 46449137191     PISSN: 01650270     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2008.04.025     Document Type: Article

References (50)

1. Arimoto S. An algorithm for computing the capacity of arbitrary discrete memoryless channels. IEEE Trans Inform Theor 18 (1972) 14-20
2. Bankman I.N., Johnson K.O., and Schneider W. Optimal detection, classification, and superposition resolution in neural waveform recordings. IEEE Trans Biomed Eng 40 8 (1993) 836-841
3. Bar-Hillel A, Spiro A, Stark E. Spike sorting: Bayesian clustering of non-stationary data. In Advances in neural information processing systems, NIPS 2004. Vancouver, 2004.
4. Bossi S., Menciassi A., Koch K., Hoffmann K.P., Yoshida K., Dario P., et al. Shape memory alloy microactuation of tf-LIFEs: preliminary results. IEEE Trans Biomed Eng (2007) 54
5. Cavallaro E., Micera S., Dario P., Jensen W., and Sinkjaer T. On the intersubject generalization ability in extracting kinematic information from afferent nervous signals. IEEE Trans Biomed Eng 50 9 (2003) 1063-1073
6. Chang CC, Lin CJ. LIBSVM: a library for support vector machines, 2001. Software available at http://www.csie.ntu.edu.tw/cjlin/libsvm.
7. Chen P.H., Lin C.J., and Scholkopf B. A tutorial on ν-support vector machines. Appl Stochast Models Business Ind 21 2 (2005) 111-136
8. Coifman R.R., and Donoho D.L. Translation-invariant de-noising. Wavelets and statistics, lecture notes in statistics (1995), Springer-Verlag p. 125-50
9. Cortes C., and Vapnik V. Support-vector networks. Mach Learn 20 3 (1995) 273-297
10. Dhillon G.S., and Horch K.W. Direct neural sensory feedback and control of a prosthetic arm. IEEE Trans Neural Syst Rehabil Eng 13 (2005) 468-472
11. Dhillon G.S., Lawrence S.M., Hutchinson D.T., and Horch K.W. Residual function in peripheral nerve stumps of amputees: implications for neural control of artificial limbs. J Hand Surg-AM 29 4 (2004) 605-618
12. Diedrich A., Charoensuk W., Brychta R.J., Ertl A.C., and Shiavi R. Analysis of raw microneurographic recordings based on wavelet de-noising technique and classification algorithm: wavelet analysis in microneurography. IEEE Trans Biomed Eng 50 1 (2003) 41-50
13. Donoho D.L., and Johnstone I.M. Ideal spatial adaptation by wavelet shrinkage. Biometrika 81 3 (1994) 425-455
14. Goodall E.V., and Horch K.W. Separation of action potentials in multiunit intrafascicular recordings. IEEE Trans Biomed Eng 39 3 (1992) 289-295
15. Goodall E.V., Horch K.W., McNaughton T.G., and Lybbert C.M. Analysis of single-unit firing patterns in multi-unit intrafascicular recordings. Med Biol Eng Comput 31 3 (1993) 257-267
16. Hoffer JA, Baru M, Bedard S, Calderon EG, Desmoulin P. Initial results with fully implanted Neurostep FES system for foot drop. In Proceedings of the 10th annual conference of the international FES society. 2005.
17. Hoffmann KP, Koch KP. Final report on design consideration of tLIFE2. Tech. rep., IBMT. 2005.
18. Huang T.K., Weng R.C., and Lin C.J. Generalized Bradley-Terry models and multi-class probability estimates. J Mach Learn Res 7 (2006) 85-115
19. Keerthi S. Efficient tuning of SVM hyperparameters using radius/margin bound and iterative algorithms. IEEE Trans Neural Network 13 5 (2002) 1225-1229
20. Kim K.H., and Kim S.J. A wavelet-based method for action potential detection from extracellular neural signal recording with low signal-to-noise ratio. IEEE Trans Biomed Eng 50 8 (2003) 999-1011
21. Lawrence S.M., Dhillon G.S., Jensen W., Yoshida K., and Horch K.W. Acute peripheral nerve recording characteristics of polymer-based longitudinal intrafascicular electrodes. IEEE Trans Neural Syst Rehabil Eng 12 3 (2004) 345-348
22. Lewicki M.S. A review of methods for spike sorting: the detection and classification of neural action potentials. Netw Comput Neural Syst 9 4 (1998) R53--R78
23. Li L.J., Zhang J., Zhang F., Lineaweaver W.C., Chen T.Y., and Chen Z.W. Longitudinal intrafascicular electrodes in collection and analysis of sensory signals of the peripheral nerve in a feline model. Microsurgery 25 7 (2005) 561-565
24. Lin C.C.K., Ju M.S., and Cheng H.S. Model-based ankle joint angle tracing by cuff electrode recordings of peroneal and tibial nerves. Med Biol Eng Comput 45 4 (2007) 375-385
25. McDonnall D., Clark G.A., and Normann R.A. Interleaved, multisite electrical stimulation of cat sciatic nerve produces fatigue-resistant, ripple-free motor responses. IEEE Trans Neural Syst Rehabil Eng 12 2 (2004) 208-215
26. McNaughton T.G., and Horch K.W. Action potential classification with dual channel intrafascicular electrodes. IEEE Trans Biomed Eng 41 7 (1994) 609-616
27. Micera S, Carrozza M, Beccai L, Vecchi F, Dario P. Hybrid bionic systems for the replacement of hand function. IEEE Proc 2006;94(10)1752-62.
28. Micera S., Jensen W., Sepulveda F., Riso R., and Sinkjaer T. Neuro-fuzzy extraction of angular information from muscle afferents for ankle control during standing in paraplegic subjects: an animal model. IEEE Trans Biomed Eng 48 7 (2001) 787-794
29. Mirfakhraei K., and Horch K. Recognition of temporally changing action potentials in multiunit neural recordings. IEEE Trans Biomed Eng 44 2 (1997) 123-131
30. Montani M, De Marchi L, Marcianesi A, Speciale N. Comparison of a programmable DSP and FPGA implementation for a wavelet-based denoising algorithm. In Proceedings of the 46th IEEE international midwest symposium on circuits and systems. 2003. p. 602-5.
31. Navarro X., Krueger T.B., Lago N., Micera S., Stieglitz T., and Dario P. A critical review of interfaces with the peripheral nervous system for the control of neuroprostheses and hybrid bionic systems. J Peripher Nerv Syst 10 3 (2005) 229-258
32. Nenadic Z., and Burdick J.W. Spike detection using the continuous wavelet transform. IEEE Trans Biomed Eng 52 1 (2005) 74-87
33. Oweiss K.G., and Anderson D.J. Noise reduction in multichannel neural recordings using a new array wavelet denoising algorithm. Neurocomputing 38-40 (2001) 1687-1693
34. Popović D.B., Stein R.B., Jovanović K.L., Dai R., Kostov A., and Armstrong W.W. Sensory nerve recording for closed-loop control to restore motor functions. IEEE Trans Biomed Eng 40 10 (1993) 1024-1031
35. Schwartz A.B. Cortical neural prosthetics. Annu Rev Neurosci 27 (2004) 487-507
36. Stein R.B., Charles D., Hoffer J.A., Arsenault J., Davis L.A., Moorman S., et al. New approaches for the control of powered prostheses particularly by high-level amputees. Bull Prosthet Res 10-33 (1980) 51-62
37. Stieglitz T., Schuettler M., and Koch K.P. Implantable biomedical microsystems for neural prostheses. IEEE Eng Med Biol Mag 24 5 (2005) 58-65
38. Tesfayesus W., and Durand D.M. Blind source separation of peripheral nerve recordings. J Neural Eng 4 (2007) 157-167
39. Tikkanen P.E. Nonlinear wavelet and wavelet packet denoising of electrocardiogram signal. Biol Cybern 80 4 (1999) 259-267
40. Tonet O., Marinelli M., Citi L., Rossini P.M., Rossini L., Megali G., et al. Defining brain-machine interface applications by merging interface performance with device requirements. J Neurosci Methods (2008) 91-104
41. Warwick K., Gasson M., Hutt B., Goodhew I., Kyberd P., Andrews B., et al. The application of implant technology for cybernetic systems. Arch Neurol 60 10 (2003) 1369-1373
42. Welsh J.P., and Schwarz C. Multielectrode recording from the cerebellum. In: Nicolelis M. (Ed). Methods for neural ensemble recordings (1999), CRC Press, Boca Raton 79-100
43. Wheeler B.C., and Heetderks W.J. A comparison of techniques for classification of multiple neural signals. IEEE Trans Biomed Eng 29 12 (1982) 752-759
44. Yoo P.B., and Durand D.M. Selective recording of the canine hypoglossal nerve using a multicontact flat interface nerve electrode. IEEE Trans Biomed Eng 52 8 (2005) 1461-1469
45. Yoshida K, Hennings K, Kammer S. Acute performance of the thin-film longitudinal intra-fascicular electrode. In First IEEE/RAS-EMBS international conference bioRob, Pisa, 2006. p. 296-300.
46. Yoshida K., and Stein R.B. Characterization of signals and noise rejection with bipolar longitudinal intrafascicular electrodes. IEEE Trans Biomed Eng 46 2 (1999) 226-234
47. Zeng F.G. Trends in cochlear implants. Trends Amplif 8 1 (2004) 1-34
48. Zhang P., Wu J., Zhou Y., Liang P., and Yuan J. Spike sorting based on automatic template reconstruction with a partial solution to the overlapping problem. J Neurosci Methods 135 1-2 (2004) 55-65
49. Zumsteg Z.S., Kemere C., O'Driscoll S., Santhanam G., Ahmed R.E., Shenoy K.V., et al. Power feasibility of implantable digital spike sorting circuits for neural prosthetic systems. IEEE Trans Neural Syst Rehabil Eng 13 3 (2005) 272-279
50. Zviagintsev A., Perelman Y., and Ginosar R. Algorithms and architectures for low power spike detection and alignment. J Neural Eng 3 1 (2006) 35-42