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

Citation data:

IEEE transactions on biomedical circuits and systems, ISSN: 1940-9990, Vol: 11, Issue: 3, Page: 547-557

Publication Year:
2017
Usage 3
Abstract Views 3
PMID:
28278483
DOI:
10.1109/tbcas.2017.2650200
Author(s):
Teng, Kok-Hin, Wu, Tong, Liu, Xiayun, Yang, Zhi, Heng, Chun-Huat
Publisher(s):
Institute of Electrical and Electronics Engineers (IEEE)
Tags:
Engineering
article description
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 mm , the design consumes a total current of 5  ∼ 5.6 mA with a maximum energy efficiency of 0.7 nJ/b.

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