Literature DB >> 23853214

A mixed-signal multichip neural recording interface with bandwidth reduction.

B Gosselin, A E Ayoub, J-F Roy, M Sawan, F Lepore, A Chaudhuri, D Guitton.   

Abstract

We present a multichip structure assembled with a medical-grade stainless-steel microelectrode array intended for neural recordings from multiple channels. The design features a mixed-signal integrated circuit (IC) that handles conditioning, digitization, and time-division multiplexing of neural signals, and a digital IC that provides control, bandwidth reduction, and data communications for telemetry toward a remote host. Bandwidth reduction is achieved through action potential detection and complete capture of waveforms by means of onchip data buffering. The adopted architecture uses high parallelism and low-power building blocks for safety and long-term implantability. Both ICs are fabricated in a CMOS 0.18-mum process and are subsequently mounted on the base of the microelectrode array. The chips are stacked according to a vertical integration approach for better compactness. The presented device integrates 16 channels, and is scalable to hundreds of recording channels. Its performance was validated on a testbench with synthetic neural signals. The proposed interface presents a power consumption of 138 muW per channel, a size of 2.30 mm(2), and achieves a bandwidth reduction factor of up to 48 with typical recordings.

Year:  2009        PMID: 23853214     DOI: 10.1109/TBCAS.2009.2013718

Source DB:  PubMed          Journal:  IEEE Trans Biomed Circuits Syst        ISSN: 1932-4545            Impact factor:   3.833


  8 in total

1.  A Fully Implantable, Programmable and Multimodal Neuroprocessor for Wireless, Cortically Controlled Brain-Machine Interface Applications.

Authors:  Fei Zhang; Mehdi Aghagolzadeh; Karim Oweiss
Journal:  J Signal Process Syst       Date:  2011-06-15

2.  Analysis and Reduction of Nonlinear Distortion in AC-Coupled CMOS Neural Amplifiers with Tunable Cutoff Frequencies.

Authors:  Beata Trzpil-Jurgielewicz; Władysław Dąbrowski; Paweł Hottowy
Journal:  Sensors (Basel)       Date:  2021-04-30       Impact factor: 3.576

Review 3.  Recent advances in neural recording microsystems.

Authors:  Benoit Gosselin
Journal:  Sensors (Basel)       Date:  2011-04-27       Impact factor: 3.576

4.  A CMOS IC-based multisite measuring system for stimulation and recording in neural preparations in vitro.

Authors:  Takashi Tateno; Jun Nishikawa
Journal:  Front Neuroeng       Date:  2014-10-10

5.  A Low Noise Amplifier for Neural Spike Recording Interfaces.

Authors:  Jesus Ruiz-Amaya; Alberto Rodriguez-Perez; Manuel Delgado-Restituto
Journal:  Sensors (Basel)       Date:  2015-09-30       Impact factor: 3.576

6.  0.6 V, 116 nW Neural Spike Acquisition IC with Self-Biased Instrumentation Amplifier and Analog Spike Extraction.

Authors:  Jong Pal Kim; Hankyu Lee; Hyoungho Ko
Journal:  Sensors (Basel)       Date:  2018-07-30       Impact factor: 3.576

7.  A High Performance Delta-Sigma Modulator for Neurosensing.

Authors:  Jian Xu; Menglian Zhao; Xiaobo Wu; Md Kafiul Islam; Zhi Yang
Journal:  Sensors (Basel)       Date:  2015-08-07       Impact factor: 3.576

8.  An Efficient VLSI Architecture for Multi-Channel Spike Sorting Using a Generalized Hebbian Algorithm.

Authors:  Ying-Lun Chen; Wen-Jyi Hwang; Chi-En Ke
Journal:  Sensors (Basel)       Date:  2015-08-13       Impact factor: 3.576

  8 in total

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