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

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 mum complementary metal-oxide-semiconductor (CMOS) process with an area of 8.8 times 7.2 mm2 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.

[1]  A. Dimarco,et al.  Neural prostheses in the respiratory system. , 2001, Journal of rehabilitation research and development.

[2]  V. Dietz,et al.  Transcutaneous functional electrical stimulation for grasping in subjects with cervical spinal cord injury , 2005, Spinal Cord.

[3]  Patrick D. Wolf,et al.  Evaluation of spike-detection algorithms fora brain-machine interface application , 2004, IEEE Transactions on Biomedical Engineering.

[4]  J A Hoffer,et al.  Restoration of use of paralyzed limb muscles using sensory nerve signals for state control of FES-assisted walking. , 1999, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[5]  Thomas Sinkjær,et al.  Urethral Sphincter EMG as Event Detector for Neurogenic Detrusor Overactivity , 2007, IEEE Transactions on Biomedical Engineering.

[6]  Jongsun Kim,et al.  Fully-differential self-biased bio-potential amplifier , 2008 .

[7]  Kristofer S. J. Pister,et al.  An ultralow-energy ADC for Smart Dust , 2003, IEEE J. Solid State Circuits.

[8]  Moo Sung Chae,et al.  A 128-Channel 6mW Wireless Neural Recording IC with On-the-Fly Spike Sorting and UWB Tansmitter , 2008, 2008 IEEE International Solid-State Circuits Conference - Digest of Technical Papers.

[9]  Zhi Yang,et al.  A neuron signature based spike feature extraction algorithm for on-chip implementation. , 2008, Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.

[10]  E. Fetz,et al.  The neurochip BCI: towards a neural prosthesis for upper limb function , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[11]  Andrew B Schwartz,et al.  Cortical neural prosthetics. , 2004, Annual review of neuroscience.

[12]  Qi Zhao,et al.  Spike Feature Extraction Using Informative Samples , 2008, NIPS.

[13]  Ran Ginosar,et al.  An Integrated System for Multichannel Neuronal Recording With Spike/LFP Separation, Integrated A/D Conversion and Threshold Detection , 2007, IEEE Trans. Biomed. Eng..

[14]  Sung June Kim,et al.  Neural spike sorting under nearly 0-dB signal-to-noise ratio using nonlinear energy operator and artificial neural-network classifier , 2000, IEEE Transactions on Biomedical Engineering.

[15]  V. Gilja,et al.  Neural Recording Stability of Chronic Electrode Arrays in Freely Behaving Primates , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[16]  Cameron T. Charles An implantable I-UWB transceiver architecture with power carrier synchronization , 2008, 2008 IEEE International Symposium on Circuits and Systems.

[17]  Moo Sung Chae,et al.  A Wideband Telemetry Unit for Multi-Channel Neural Recording Systems , 2007, 2007 IEEE International Conference on Ultra-Wideband.

[18]  Teresa H. Y. Meng,et al.  HermesB: A Continuous Neural Recording System for Freely Behaving Primates , 2007, IEEE Transactions on Biomedical Engineering.

[19]  Berj L. Bardakjian,et al.  Brain–Silicon Interface for High-Resolution in vitro Neural Recording , 2007, IEEE Transactions on Biomedical Circuits and Systems.

[20]  Jie Xu,et al.  Wireless, In Vivo Neural Recording using a Custom Integrated Bioamplifier and the Pico System , 2007, 2007 3rd International IEEE/EMBS Conference on Neural Engineering.

[21]  R.R. Harrison,et al.  A Low-Power Integrated Circuit for a Wireless 100-Electrode Neural Recording System , 2006, IEEE Journal of Solid-State Circuits.

[22]  Mohamad Sawan,et al.  A Mixed-Signal Multi-Chip Neural Recording Interface with Bandwidth Reduction , 2007, 2007 IEEE Biomedical Circuits and Systems Conference.

[23]  R. Olsson,et al.  A three-dimensional neural recording microsystem with implantable data compression circuitry , 2005, ISSCC. 2005 IEEE International Digest of Technical Papers. Solid-State Circuits Conference, 2005..

[24]  Ramon Pallàs-Areny,et al.  A comprehensive model for power line interference in biopotential measurements , 2000, IEEE Trans. Instrum. Meas..

[25]  Ramesh Harjani,et al.  Pulse generator design for UWB IR communication systems , 2005, 2005 IEEE International Symposium on Circuits and Systems.

[26]  Liang-Gee Chen,et al.  NEUSORT2.0: A multiple-channel neural signal processor with systolic array buffer and channel-interleaving processing schedule , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[27]  Gary E. Birch,et al.  Detection and classification of sensory information from acute spinal cord recordings , 2006, IEEE Transactions on Biomedical Engineering.

[28]  Mohamad Sawan,et al.  An ultra low-power CMOS action potential detector , 2008, 2008 IEEE International Symposium on Circuits and Systems.

[29]  Petros Maragos,et al.  On amplitude and frequency demodulation using energy operators , 1993, IEEE Trans. Signal Process..

[30]  J. Boggs,et al.  Detecting the onset of hyper-reflexive bladder contractions from the electrical activity of the pudendal nerve , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[31]  Amir M. Sodagar,et al.  A Fully Integrated Mixed-Signal Neural Processor for Implantable Multichannel Cortical Recording , 2007, IEEE Transactions on Biomedical Engineering.

[32]  Moo Sung Chae,et al.  Design Optimization for Integrated Neural Recording Systems , 2008, IEEE Journal of Solid-State Circuits.

[33]  Lynn Hazan,et al.  Klusters, NeuroScope, NDManager: A free software suite for neurophysiological data processing and visualization , 2006, Journal of Neuroscience Methods.