A 128-Channel 6 mW Wireless Neural Recording IC With Spike Feature Extraction and UWB Transmitter

作者：Chae Moo Sung^*; Yang Zhi; Yuce Mehmet R; Hoang Linh; Liu Wentai

来源：IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2009, 17(4): 312-321.

DOI：10.1109/TNSRE.2009.2021607

• Digital signal processing (DSP)
• integrated circuit (IC)
• low-noise amplifier
• neural recording system
• ultra-wideband (UWB)

This paper reports a 128-channel neural recording integrated circuit (IC) with on-the-fly spike feature extraction and wireless telemetry. The chip consists of eight 16-channel front-end recording blocks, spike detection and feature extraction digital signal processor (DSP), ultra wideband (UWB) transmitter, and on-chip bias generators. Each recording channel has amplifiers with programmable gain and bandwidth to accommodate different types of biological signals. An analog-to-digital converter (ADC) shared by 16 amplifiers through time-multiplexing results in a balanced trade-off between the power consumption and chip area. A nonlinear energy operator (NEO) based spike detector is implemented for identifying spikes, which are further processed by a digital frequency-shaping filter. The computationally efficient spike detection and feature extraction algorithms attribute to an auspicious DSP implementation on-chip. UWB telemetry is designed to wirelessly transfer raw data from 128 recording channels at a data rate of 90 Mbit/s. The chip is realized in 0.35 mu m complementary metal-oxide-semiconductor (CMOS) process with an area of 8.8 7.2 mm(2) and consumes 6 mW by employing a sequential turn-on architecture that selectively powers off idle analog circuit blocks. The chip has been tested for electrical specifications and verified in an ex vivo biological environment.

• 出版日期2009-8