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An adaptive recovery method in compressed sensing of extracellular neural recording

Hicham Semmaoui, Nan Li, Saied Hosseini-Khayat, J.C. Martinez-Trujillo and Mohamad Sawan

Article (2015)

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Abstract

A novel adaptive recovery method in the emerging compressed sensing theory is described and applied to extracellular neural recordings in order to reduce data rate in wireless neural recording systems. To strike a balance between high compression ratio and high spike reconstruction quality, a novel method that employs a group-sparsity recovery algorithm, prior information about the input neural signal, learning prior supports of spikes, and a matched wavelet technique is introduced. Our simulation results, using four different sets of real extracellular recordings from four distinct neural sources, show that our proposed method is effective, viable, and outperforms the state-of-the-art compressed sensing-based methods, in particular, when the number of the measurement is two times of the sparsity.

Uncontrolled Keywords

Neural recording data reduction; Compressed sensing, Adaptive recovery; Matched wavelet; Spike detection

Subjects: 1900 Biomedical engineering > 1900 Biomedical engineering
2500 Electrical and electronic engineering > 2500 Electrical and electronic engineering
2500 Electrical and electronic engineering > 2510 Adaptive, learning and evolutionary systems
Department: Department of Electrical Engineering
Research Center: Polystim - Neurotechnology Laboratory
PolyPublie URL: https://publications.polymtl.ca/5131/
Journal Title: Journal of Neurology and Neuroscience (vol. 6, no. 2)
Publisher: iMedPub LTD
DOI: 10.21767/2171-6625.100019
Official URL: https://doi.org/10.21767/2171-6625.100019
Date Deposited: 16 Feb 2023 15:49
Last Modified: 27 Sep 2024 12:02
Cite in APA 7: Semmaoui, H., Li, N., Hosseini-Khayat, S., Martinez-Trujillo, J.C., & Sawan, M. (2015). An adaptive recovery method in compressed sensing of extracellular neural recording. Journal of Neurology and Neuroscience, 6(2), 19 (11 pages). https://doi.org/10.21767/2171-6625.100019

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