TY - GEN
T1 - A streaming PCA based VLSI chip for neural data compression
AU - Wu, Tong
AU - Zhao, Wenfeng
AU - Guo, Hongsun
AU - Lim, Hubert
AU - Yang, Zhi
PY - 2016
Y1 - 2016
N2 - Local field potentials (LFPs) are popularly used in wireless neural interface due to its chronic stability and robustness against noise and radio interferences. On-chip data compression is advantageous that allows for integration with the recent low-power, low-data-rate wireless technologies to ensure reliable operations. In this paper, we propose a streaming principal component analysis (PCA) based algorithm and its microchip implementation to compress multichannel LFP data. The chip has been designed in a 65nm CMOS technology and occupies a silicon area of 0.06mm2. It has been tested with Guinea pig auditory cortex data recorded with a multi-shank Neuro Nexus probe, where the chip can achieve an 8× compression ratio with ∼3% average reconstruction error, consuming 144nW per channel at a 0.5V power supply.
AB - Local field potentials (LFPs) are popularly used in wireless neural interface due to its chronic stability and robustness against noise and radio interferences. On-chip data compression is advantageous that allows for integration with the recent low-power, low-data-rate wireless technologies to ensure reliable operations. In this paper, we propose a streaming principal component analysis (PCA) based algorithm and its microchip implementation to compress multichannel LFP data. The chip has been designed in a 65nm CMOS technology and occupies a silicon area of 0.06mm2. It has been tested with Guinea pig auditory cortex data recorded with a multi-shank Neuro Nexus probe, where the chip can achieve an 8× compression ratio with ∼3% average reconstruction error, consuming 144nW per channel at a 0.5V power supply.
UR - http://www.scopus.com/inward/record.url?scp=85014158780&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85014158780&partnerID=8YFLogxK
U2 - 10.1109/BioCAS.2016.7833764
DO - 10.1109/BioCAS.2016.7833764
M3 - Conference contribution
AN - SCOPUS:85014158780
T3 - Proceedings - 2016 IEEE Biomedical Circuits and Systems Conference, BioCAS 2016
SP - 192
EP - 195
BT - Proceedings - 2016 IEEE Biomedical Circuits and Systems Conference, BioCAS 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th IEEE Biomedical Circuits and Systems Conference, BioCAS 2016
Y2 - 17 October 2016 through 19 October 2016
ER -