An efficient and compact compressed sensing microsystem for implantable neural recordings

Zhang, J., Suo, Y., Mitra, S., Chin, S. P., Hsiao, S., Yazicioglu, R. F., Tran, T. D. and Etienne-Cummings, R. (2014) An efficient and compact compressed sensing microsystem for implantable neural recordings. IEEE Transactions on Biomedical Circuits and Systems, 8(4), pp. 485-496. (doi: 10.1109/TBCAS.2013.2284254) (PMID:25073125)

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Abstract

Multi-Electrode Arrays (MEA) have been widely used in neuroscience experiments. However, the reduction of their wireless transmission power consumption remains a major challenge. To resolve this challenge, an efficient on-chip signal compression method is essential. In this paper, we first introduce a signal-dependent Compressed Sensing (CS) approach that outperforms previous works in terms of compression rate and reconstruction quality. Using a publicly available database, our simulation results show that the proposed system is able to achieve a signal compression rate of 8 to 16 while guaranteeing almost perfect spike classification rate. Finally, we demonstrate power consumption measurements and area estimation of a test structure implemented using TSMC 0.18 μm process. We estimate the proposed system would occupy an area of around 200 μm ×300 μm per recording channel, and consumes 0.27 μW operating at 20 KHz .

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Mitra, Dr Srinjoy
Authors: Zhang, J., Suo, Y., Mitra, S., Chin, S. P., Hsiao, S., Yazicioglu, R. F., Tran, T. D., and Etienne-Cummings, R.
College/School:College of Science and Engineering > School of Engineering
Journal Name:IEEE Transactions on Biomedical Circuits and Systems
Publisher:IEEE
ISSN:1932-4545
ISSN (Online):1940-9990

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