Real-time signal processing for high-density microelectrode array systems

International Journal of Adaptive Control and Signal Processing

Volumn 23, Issue 11, 2009, Pages 983-998

  Imfeld, K ^a   MacCione, A ^b   Gandolfo, M ^b   Martinoia, S ^b,c   Farine, P A ^a   Koudelka Hep, M ^a   Berdondini, L ^c  

^a UNIVERSITY OF NEUCHÂTEL   (Switzerland)

^b UNIVERSITY OF GENOA   (Italy)

^c ISTITUTO ITALIANO DI TECNOLOGIA   (Italy)

Author keywords

Hardware based spike analysis; High density microelectrode arrays; Neuronal networks; Real time; Wavelets

Indexed keywords

DATA HANDLING; DISCRETE WAVELET TRANSFORMS; FIELD PROGRAMMABLE GATE ARRAYS (FPGA); MICROELECTRODES; NEURAL NETWORKS; NEURONS; SIGNAL RECONSTRUCTION;

HARDWARE IMPLEMENTATIONS; MATHEMATICAL OPERATIONS; MICROELECTRODE ARRAY; NEURONAL NETWORKS; REAL TIME; REAL-TIME SIGNAL PROCESSING; WAVELET COEFFICIENTS; WAVELETS;

REAL TIME SYSTEMS;

EID: 70350490058     PISSN: 08906327     EISSN: 10991115     Source Type: Journal    
DOI: 10.1002/acs.1077     Document Type: Article

References (44)

1. Keefer E, Gramowski A, Stenger D, Pancrazio J, Gross G. Characterization of acute neurotoxic effects of trimethylolpropane phospate via neuronal network biosensors. Biosensors and Bioelectronics 2001; 16:513-525.
2. Maher M, Pine J, Wright J, Tai Y-C. The neurochip: a new multielectrode device for stimulating and recording from cultured neurons. Journal of Neuroscience Methods 1999; 87:45-56.
3. Heer F, Hafizovic S, Franks W, Blau A, Ziegler C, Hierlemann A. CMOS microelectrode array for bidirectional interaction with neuronal networks. IEEE Journal of Solid-State Circuits 2006; 41(7):1620-1629.
4. Wise KD, Anderson DJ, Hetke JF, Kipke DR, Najafi K. Wireless implantable microsystems: high-density electronic interfaces to the nervous system. Proceedings of the IEEE 2004; 92(1):76-97.
5. Hafizovic S, Heer F, Franks W, Greve F, Blau A, Ziegler C, Hierlemann A. CMOS bidirectional electrode array for electrogenic cells. MEMS, Istanbul, 2006; 4-7.
6. Folgers A, Mosch F, Malina T, Hofmann U. Realtime bioelectrical data acquisition and processing from 128 channels utilizing the wavelet- transformation. Neurocomputing 2003; 52-54:247-254.
7. Oweiss KG, Mason A, Suhail Y, Kamboh AM, Thomson KE. A scalable wavlet transform VLSI architecture for real-time signal processing in high-density intra-cortical implants. IEEE Transactions on Biomedical Engineering 2007; 54(6):1266-1278.
8. Guillory KS, Normann RA. A 100-channel system for real time detection and storage of extracellular spike waveforms. Journal of Neuroscience Methods 1999; 91:21-29.
9. Pine J. Recording action potentials from cultured neurons with extracellular microcircuit electrodes. Journal of Neuroscience Methods 1980; 2:19-31.
10. Berdondini L, Overstolz T, De Rooij NF, Koudelka-Hep M, Wany M, Seitz P. High-density microelectrode arrays for electrophysiological activity imaging of neuronal networks. ICECS, The 8th IEEE International Conference on Electronics, Circuits and Systems, Malta, 2-5 September 2001; 1239-1242.
11. Eversmann B, Jenkner M, Hofmann F, Paulus C, Brederlow R, Holzapfl B, Fromherz P, Merz M, Brenner M, Schreiter M, Gabl R, Plehnert K, Steinhauser M, Eckstein G, Schmitt-Landsiedel D, Thewes R. A 128 × 128 CMOS biosensor array for extracellular recording of neural activity. IEEE Journal ofSolid-State Circuits 2003; 38(12):2306-2317.
12. Imfeld K, Neukom S, Maccione A, Bornat Y, Martinoia S, Farine P-A, Koudelka-Hep M, Berdondini L. Large- scale, high-resolution data acquisition system for extracellular recording of electrophysiological activity. IEEE Transactions on Biomedical Engineering 2008; 55(5):2064-2073.
13. Lewicki MS. A review of methods for spike sorting: the detection and classification of neural action potentials. Network-Computing in Neural Systems 1998; 9:53-78.
14. Unser M, Aldroubi A. A review of wavelets in biomedical applications. Proceedings of the IEEE 1996; 84(4):626-638.
15. Mallat S. A Wavelet Tour ofSignal Processing. Academic Press: New York, 2001.
16. Shensa MJ. The discrete wavelet transform: wedding the a Trous and Mallat algorithms. IEEE Transactions on Signal Processing 1992; 40(10):2464-2482.
17. Vetterli M, Herley C. Wavelets and filter banks: theory and design. IEEE Transactions on Signal Processing 1992; 40(9):2207-2232.
18. Burrus CS, Gopinath RA, Guo H. Introduction to Wavelets and Wavelet Transforms. Prentice-Hall: Englewood Cliffs, NJ, 1998.
19. Mallat SG. A theory for multiresolution signal decomposition: the wavelet representation. IEEE Transactions on Pattern Analysis and Machine Intelligence 1989; 11(7):674-693.
20. Mohseni P, Najafi K. A fully integrated neural recording amplifier with DC input stabilization. IEEE Transactions on Biomedical Engineering 2004; 51(5):832-837.
21. Dabrowski W, Grybos P, Litke AM. A low noise multichannel integrated circuit for recording neuronal signals using microelectrode arrays. Biosensors and Bioelectronics 2004; 19:749-761.
22. Donoho DL. De-noising by soft-thresholding. IEEE Transactions on Information Theory 1995; 41(3):613-627.
23. Gozani SN, Miller JP. Optimal discrimination and classification of neuronal action potential waveforms from multiunit, multichannel recordings using software-base linear filters. IEEE Transactions on Biomedical Engineering 1994; 41(4):358-372.
24. Lewicki MS. Bayesian modeling and classification of neural signals. Neural Computation 1994; 6(5):1005-1030.
25. Obeid I, Wolf PD. Evaluation of spike-detection algorithms for a brain-machine interface application. IEEE Transactions on Biomedical Engineering 2004; 51(6):905-911.
26. Wheeler BC. Automatic discrimination of single units. In Methods for Neural Ensemble Recordings, Nicolelis MAL (ed.). CRC Press: New York, 1999; 61-77.
27. Shoham S, Fellows MR, Normann RA. Robust, automatic spike sorting using mixtures of multivariate t- distributions. Journal of Neuroscience Methods 2003; 127:111-122.
28. Kaufman L, Rousseeuw PJ. Finding Groups in Data: An Introduction to Cluster Analysis. Wiley: New York, 1990.
29. Wheeler BC, Heetderks WJ. A comparison of techniques for classification of multiple neural signals. IEEE Transactions on Biomedical Engineering 1982; 29:752-759.
30. Nenadic Z, Burdick JW. Spike detection using the continuous wavelet transform. IEEE Transactions on Biomedical Engineering 2005; 52(1):74-87.
31. Hulata E, Segev R, Ben-Jacob E. A method for spike sorting and detection based on wavelet packets and Shannon's mutual information. Journal of Neuroscience Methods 2002; 117:1-12.
32. Quian Quiroga R, Nadasdy Z, Ben-Shaul Y. Unsupervised spike detection and sorting with wavelets and superparamagnetic clustering. Neural Computation 2004; 16:1661-1687.
33. Oweiss KG, Anderson DJ. Noise reduction in multichannel neural recordings using a new array wavelet denoising algorithm. Neurocomputing 2001; 38-40:1687-1693.
34. Rao AM, Jones DL. A denoising approach to multisensor signal estimation. IEEE Transactions on Signal Processing 2000; 48(5):1225-1234.
35. Kim KH, Kim SJ. A wavelet-based method for action potential detection from extracellular neural signal recording with low signal-to-noise ratio. IEEE Transactions on Biomedical Engineering 2003; 50(8):999-1011.
36. Nakatani H, Watanabe T, Hoshimiya N. Detection of nerve action potentials under low signal-to-noise ratio condition. IEEE Transactions on Biomedical Engineering 2001; 48(8):845-849.
37. Mallat S. Dyadic wavelets energy zero-crossings. Technical Report, University of Pennsylvania, 1988.
38. Letelier JC, Weber PP. Spike sorting based on discrete wavelet transform coefficients. Journal of Neuroscience Methods 2000; 101:93-106.
39. Zouridakis G, Tam DC. Multi-unit spike discrimination using wavelet transforms. Computers in Biology and Medicine 1997; 27(1):9-18.
40. Martinoia S, Massobrio P, Bove M, Massobrio G. Cultured neurons coupled to microelectrode arrays: circuit models, simulations and experimental data. IEEE Transactions on Biomedical Engineering 2004; 51(5):859-864.
41. CameraLink. Specification of the CameraLink Interface Standard for Digital Cameras and Frame Grabbers. 2008. Available from: http://www. compumodules.com/image-processing/euresys/CLinkHomepage.shtml.
42. Daubechies I, Sweldens W. Factoring wavelet transforms into lifting steps. Journal of Fourier Analysis and Applications 1998; 4(3):247-269.
43. Huang C-T, Tseng P-C, Chen L-G. Analysis and VLSI architecture for 1-D and 2-D discrete wavelet transform. IEEE Transactions on Signal Processing 2005; 53(4):1575-1586.
44. Huang C-T, Tseng P-C, Chen L-G. Flipping structure: an efficient VLSI architecture for lifting-based discrete wavelet transform. IEEE Transactions on Signal Processing 2004; 52(4):1080-1089.