Literature DB >> 17260864

An integrated system for multichannel neuronal recording with spike/LFP separation, integrated A/D conversion and threshold detection.

Yevgeny Perelman1, Ran Ginosar.   

Abstract

A mixed-signal front-end processor for multichannel neuronal recording is described. It receives 12 differential-input channels of implanted recording electrodes. A programmable cutoff High Pass Filter (HPF) blocks dc and low-frequency input drift at about 1 Hz. The signals are band-split at about 200 Hz to low-frequency Local Field Potential (LFP) and high-frequency spike data (SPK), which is band limited by a programmable-cutoff LPF, in a range of 8-13 kHz. Amplifier offsets are compensated by 5-bit calibration digital-to-analog converters (DACs). The SPK and LFP channels provide variable amplification rates of up to 5000 and 500, respectively. The analog signals are converted into 10-bit digital form, and streamed out over a serial digital bus at up to 8 Mbps. A threshold filter suppresses inactive portions of the signal and emits only spike segments of programmable length. A prototype has been fabricated on a 0.35-microm CMOS process and tested successfully, demonstrating a 3-microV noise level. Special interface system incorporating an embedded CPU core in a programmable logic device accompanied by real-time software has been developed to allow connectivity to a computer host.

Mesh:

Year:  2007        PMID: 17260864     DOI: 10.1109/TBME.2006.883732

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  12 in total

1.  A microfluidic platform for controlled biochemical stimulation of twin neuronal networks.

Authors:  Emilia Biffi; Francesco Piraino; Alessandra Pedrocchi; Gianfranco B Fiore; Giancarlo Ferrigno; Alberto Redaelli; Andrea Menegon; Marco Rasponi
Journal:  Biomicrofluidics       Date:  2012-04-03       Impact factor: 2.800

2.  Denoising and compression of intracortical signals with a modified MDL criterion.

Authors:  Elias S G Carotti; Vahid Shalchyan; Winnie Jensen; Dario Farina
Journal:  Med Biol Eng Comput       Date:  2014-03-18       Impact factor: 2.602

3.  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

4.  Development and validation of a spike detection and classification algorithm aimed at implementation on hardware devices.

Authors:  E Biffi; D Ghezzi; A Pedrocchi; G Ferrigno
Journal:  Comput Intell Neurosci       Date:  2010-03-14

Review 5.  Implantable neurotechnologies: a review of integrated circuit neural amplifiers.

Authors:  Kian Ann Ng; Elliot Greenwald; Yong Ping Xu; Nitish V Thakor
Journal:  Med Biol Eng Comput       Date:  2016-01-22       Impact factor: 2.602

6.  Micropower CMOS Integrated Low-Noise Amplification, Filtering, and Digitization of Multimodal Neuropotentials.

Authors:  M Mollazadeh; K Murari; G Cauwenberghs; N Thakor
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2009-01-06       Impact factor: 3.833

Review 7.  Implantable Microimagers.

Authors:  David C Ng; Takashi Tokuda; Sadao Shiosaka; Yasuo Tano; Jun Ohta
Journal:  Sensors (Basel)       Date:  2008-05-15       Impact factor: 3.576

Review 8.  Recent advances in neural recording microsystems.

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

9.  A Wireless Optogenetic Headstage with Multichannel Electrophysiological Recording Capability.

Authors:  Gabriel Gagnon-Turcotte; Alireza Avakh Kisomi; Reza Ameli; Charles-Olivier Dufresne Camaro; Yoan LeChasseur; Jean-Luc Néron; Paul Brule Bareil; Paul Fortier; Cyril Bories; Yves de Koninck; Benoit Gosselin
Journal:  Sensors (Basel)       Date:  2015-09-09       Impact factor: 3.576

10.  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
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