A digital multichannel neural signal processing system using compressed sensing

This paper concerns a wireless multichannel neural recording system using a compressed sensing technique to compress the recorded data. We put forth a single and a multichannel system applying a Minimum Euclidean or Manhattan Distance Cluster-based (MDC) deterministic compressed sensing matrix. The...

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Bibliographic Details
Published in:Digital signal processing 2016-08, Vol.55, p.64-77
Main Authors: Li, Nan, Osborn, Morgan, Wang, Guoxing, Sawan, Mohamad
Format: Article
Language:English
Subjects:
Channels
Compressed sensing
Construction
Data compression
Detection
Digital signal processing
DSP
Multichannel
Multichannel neural recording
Neural signal processing
Power consumption
Reconstruction
Signal processing
VLSI
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Summary:This paper concerns a wireless multichannel neural recording system using a compressed sensing technique to compress the recorded data. We put forth a single and a multichannel system applying a Minimum Euclidean or Manhattan Distance Cluster-based (MDC) deterministic compressed sensing matrix. The single-channel signal processing system is composed of spike detection and data compression blocks. For the construction of the MDC matrix, the distance σ is an important parameter, which can take a value of 4 or 5. In addition, the sharing strategy is used to construct a multichannel system, and we analyze the influence of the number of the channels; scan rate on the reconstruction error, compression rate and power consumption; the influence of the signal-to-noise ratio; and reconstruction performance on neural signals. Based on the results, a 256-channel digital signal processing system, implemented in a 130-nm CMOS process, is proposed. This system has power consumption per channel of 12.5 μW and silicon area per channel of 0.03 mm2, and provides data reduction of around 90% while enabling accurate reconstruction of the original signals. •We build a 256-channel digital signal processing system using CS technique.•We discuss circuit implementation based on the MDC matrix for signal compression.•Distance in circuit design is chosen as 4 or 5 and channel-to-scan is chosen as 4.•Our system has relatively low power consumption and a small area.•Reconstruction accuracy is good with a large compression rate using our system.
ISSN:1051-2004
1095-4333
DOI:10.1016/j.dsp.2016.04.013