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 |
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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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