A Fully Integrated Wireless Compressed Sensing Neural Signal Acquisition System for Chronic Recording and Brain Machine Interface

作者：Liu, Xilin; Zhang, Milin^*; Xiong, Tao; Richardson, Andrew G.; Lucas, Timothy H.; Chin, Peter S.; Etienne-Cummings, Ralph; Tran, Trac D.; Van der Spiegel, Jan

来源：IEEE Transactions on Biomedical Circuits and Systems, 2016, 10(4): 874-883.

DOI：10.1109/TBCAS.2016.2574362

• Brain machine interface
• compressed sensing
• high energy efficiency
• neural recording
• wireless multi-channel recording

Reliable, multi-channel neural recording is critical to the neuroscience research and clinical treatment. However, most hardware development of fully integrated, multi-channel wireless neural recorders to-date, is still in the proof-of-concept stage. To be ready for practical use, the trade-offs between performance, power consumption, device size, robustness, and compatibility need to be carefully taken into account. This paper presents an optimized wireless compressed sensing neural signal recording system. The system takes advantages of both custom integrated circuits and universal compatible wireless solutions. The proposed system includes an implantable wireless system-on-chip (SoC) and an external wireless relay. The SoC integrates 16-channel low-noise neural amplifiers, programmable filters and gain stages, a SAR ADC, a real-time compressed sensing module, and a near field wireless power and data transmission link. The external relay integrates a 32 bit low-power microcontroller with Bluetooth 4.0 wireless module, a programming interface, and an inductive charging unit. The SoC achieves high signal recording quality with minimized power consumption, while reducing the risk of infection from through-skin connectors. The external relay maximizes the compatibility and programmability. The proposed compressed sensing module is highly configurable, featuring a SNDR of 9.78 dB with a compression ratio of 8x. The SoC has been fabricated in a 180 nm standard CMOS technology, occupying 2.1 mm x 0.6 mm silicon area. A pre-implantable system has been assembled to demonstrate the proposed paradigm. The developed system has been successfully used for long-term wireless neural recording in freely behaving rhesus monkey.

• 出版日期2016-8
• 单位清华大学