A 400 MHz Wireless Neural Signal Processing IC With 625x On-Chip Data Reduction and Reconfigurable BFSK/QPSK Transmitter Based on Sequential Injection Locking

作者：Teng Kok Hin^*; Wu Tong; Liu Xiayun; Yang Zhi; Heng Chun Huat

来源：IEEE Transactions on Biomedical Circuits and Systems, 2017, 11(3): 547-557.

DOI：10.1109/TBCAS.2017.2650200

• Exponential component-polynomial component (EC-PC)
• feature extraction
• incremental principal component analysis (IPCA)
• injection locking
• neural signal processing
• reconfigurable
• spike detection
• spike sorting
• transmitter

An 8-channel wireless neural signal processing IC, which can perform real-time spike detection, alignment, and feature extraction, and wireless data transmission is proposed. A reconfigurable BFSK/QPSK transmitter (TX) at MICS/MedRadio band is incorporated to support different data rate requirement. By using an Exponential Component-Polynomial Component (EC-PC) spike processing unit with an incremental principal component analysis ( IPCA) engine, the detection of neural spikes with poor SNR is possible while achieving 625x data reduction. For the TX, a dual-channel at 401 MHz and 403.8 MHz are supported by applying sequential injection locked techniques while attaining phase noise of -102 dBc/Hz at 100 kHz offset. From the measurement, error vector magnitude (EVM) of 4.60%/9.55% with power amplifier (PA) output power of -15 dBm is achieved for the QPSK at 8 Mbps and the BFSK at 12.5 kbps. Fabricated in 65 nm CMOS with an active area of 1 mm(2), the design consumes a total current of 5 similar to 5.6 mA with a maximum energy efficiency of 0.7 nJ/b.

• 出版日期2017-6