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 625× 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 mm2, the design consumes a total current of 5 ∼5.6 mA with a maximum energy efficiency of 0.7 nJ/b.
|Original language||English (US)|
|Number of pages||11|
|Journal||IEEE transactions on biomedical circuits and systems|
|State||Published - Jun 2017|
Bibliographical notePublisher Copyright:
© 2007-2012 IEEE.
- Exponential component-polynomial component (EC-PC)
- feature extraction
- incremental principal component analysis (IPCA)
- injection locking
- neural signal processing
- spike detection
- spike sorting