Block-Sparse Modeling for Compressed Sensing of Neural Action Potentials and Local Field Potentials

Wenfeng Zhao; Tong Wu; Jian Xu; Qi Zhao; Zhi Yang

doi:10.1109/IEEECONF44664.2019.9048841

Block-Sparse Modeling for Compressed Sensing of Neural Action Potentials and Local Field Potentials

Wenfeng Zhao, Tong Wu, Jian Xu, Qi Zhao, Zhi Yang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper presents our attempt for the efficient sparse modeling and recovery for Compressed Sensing (CS) of extracellular neural action and local field potentials (APs LFPs). Both type of neural signals can be modeled as block-sparse in DCT (Discrete-Cosine Transform) domain, where we exploit the spectral information to determine the block boundaries, including bandpass filter pole information used for spike detection and the corner frequency of local filed potentials, respectively. Binary-Weighted ℓ₁-minimization (BW-ℓ₁-min) is proposed for neural signal recovery with their respective block boundary information. Experimental results demonstrate that block-sparse modeling and BW-ℓ₁-min recovery lead to more than 5-dB signal-to-noise ratio improvement for both AP and LFP signals as compared to the standard ℓ₁-minimization algorithm.

Original language	English (US)
Title of host publication	Conference Record - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019
Editors	Michael B. Matthews
Publisher	IEEE Computer Society
Pages	2097-2100
Number of pages	4
ISBN (Electronic)	9781728143002
DOIs	https://doi.org/10.1109/IEEECONF44664.2019.9048841
State	Published - Nov 2019
Event	53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019 - Pacific Grove, United States Duration: Nov 3 2019 → Nov 6 2019

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
Volume	2019-November
ISSN (Print)	1058-6393

Conference

Conference	53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019
Country/Territory	United States
City	Pacific Grove
Period	11/3/19 → 11/6/19

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This research was funded in part by the NIH under Grant R01-MH111413-01 and in part by the internal fund at the University of Minnesota. W. Zhao is a Mistletoe Research Fellow and the receipient of the Unfettered Research Grant.

Publisher Copyright:
© 2019 IEEE.

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10.1109/IEEECONF44664.2019.9048841

Cite this

Zhao, W., Wu, T., Xu, J., Zhao, Q., & Yang, Z. (2019). Block-Sparse Modeling for Compressed Sensing of Neural Action Potentials and Local Field Potentials. In M. B. Matthews (Ed.), Conference Record - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019 (pp. 2097-2100). [9048841] (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2019-November). IEEE Computer Society. https://doi.org/10.1109/IEEECONF44664.2019.9048841

Block-Sparse Modeling for Compressed Sensing of Neural Action Potentials and Local Field Potentials. / Zhao, Wenfeng; Wu, Tong; Xu, Jian; Zhao, Qi ; Yang, Zhi.

Conference Record - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019. ed. / Michael B. Matthews. IEEE Computer Society, 2019. p. 2097-2100 9048841 (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2019-November).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zhao, W, Wu, T, Xu, J, Zhao, Q & Yang, Z 2019, Block-Sparse Modeling for Compressed Sensing of Neural Action Potentials and Local Field Potentials. in MB Matthews (ed.), Conference Record - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019., 9048841, Conference Record - Asilomar Conference on Signals, Systems and Computers, vol. 2019-November, IEEE Computer Society, pp. 2097-2100, 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019, Pacific Grove, United States, 11/3/19. https://doi.org/10.1109/IEEECONF44664.2019.9048841

Zhao W, Wu T, Xu J, Zhao Q , Yang Z. Block-Sparse Modeling for Compressed Sensing of Neural Action Potentials and Local Field Potentials. In Matthews MB, editor, Conference Record - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019. IEEE Computer Society. 2019. p. 2097-2100. 9048841. (Conference Record - Asilomar Conference on Signals, Systems and Computers). https://doi.org/10.1109/IEEECONF44664.2019.9048841

Zhao, Wenfeng ; Wu, Tong ; Xu, Jian ; Zhao, Qi ; Yang, Zhi. / Block-Sparse Modeling for Compressed Sensing of Neural Action Potentials and Local Field Potentials. Conference Record - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019. editor / Michael B. Matthews. IEEE Computer Society, 2019. pp. 2097-2100 (Conference Record - Asilomar Conference on Signals, Systems and Computers).

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Block-Sparse Modeling for Compressed Sensing of Neural Action Potentials and Local Field Potentials

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