Literature DB >> 23853339

The 128-channel fully differential digital integrated neural recording and stimulation interface.

Farzaneh Shahrokhi, Karim Abdelhalim, Demitre Serletis, Peter L Carlen, Roman Genov.   

Abstract

We present a fully differential 128-channel integrated neural interface. It consists of an array of 8 X 16 low-power low-noise signal-recording and generation circuits for electrical neural activity monitoring and stimulation, respectively. The recording channel has two stages of signal amplification and conditioning with and a fully differential 8-b column-parallel successive approximation (SAR) analog-to-digital converter (ADC). The total measured power consumption of each recording channel, including the SAR ADC, is 15.5 ¿W. The measured input-referred noise is 6.08 ¿ Vrms over a 5-kHz bandwidth, resulting in a noise efficiency factor of 5.6. The stimulation channel performs monophasic or biphasic voltage-mode stimulation, with a maximum stimulation current of 5 mA and a quiescent power dissipation of 51.5 ¿W. The design is implemented in 0.35-¿m complementary metal-oxide semiconductor technology with the channel pitch of 200 ¿m for a total die size of 3.4 mm × 2.5 mm and a total power consumption of 9.33 mW. The neural interface was validated in in vitro recording of a low-Mg(2+)/high-K(+) epileptic seizure model in an intact hippocampus of a mouse.

Entities:  

Year:  2010        PMID: 23853339     DOI: 10.1109/TBCAS.2010.2041350

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


  21 in total

1.  A low-power band of neuronal spiking activity dominated by local single units improves the performance of brain-machine interfaces.

Authors:  Samuel R Nason; Alex K Vaskov; Matthew S Willsey; Elissa J Welle; Hyochan An; Philip P Vu; Autumn J Bullard; Chrono S Nu; Jonathan C Kao; Krishna V Shenoy; Taekwang Jang; Hun-Seok Kim; David Blaauw; Parag G Patil; Cynthia A Chestek
Journal:  Nat Biomed Eng       Date:  2020-07-27       Impact factor: 25.671

2.  VLSI implementation of a template subtraction algorithm for real-time stimulus artifact rejection.

Authors:  Kanokwan Limnuson; Hui Lu; Hillel J Chiel; Pedram Mohseni
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

3.  Geometry-based optimization of radio-frequency coils for powering neuroprosthetic implants.

Authors:  Jungsuk Kim; Eric Basham; Kenneth D Pedrotti
Journal:  Med Biol Eng Comput       Date:  2012-10-21       Impact factor: 2.602

4.  Stimulation Efficiency With Decaying Exponential Waveforms in a Wirelessly Powered Switched-Capacitor Discharge Stimulation System.

Authors:  Hyung-Min Lee; Bryan Howell; Warren M Grill; Maysam Ghovanloo
Journal:  IEEE Trans Biomed Eng       Date:  2017-08-17       Impact factor: 4.538

5.  A Power-Efficient Wireless System With Adaptive Supply Control for Deep Brain Stimulation.

Authors:  Hyung-Min Lee; Hangue Park; Maysam Ghovanloo
Journal:  IEEE J Solid-State Circuits       Date:  2013-09       Impact factor: 5.013

6.  A 100-channel hermetically sealed implantable device for chronic wireless neurosensing applications.

Authors:  Ming Yin; David A Borton; Juan Aceros; William R Patterson; Arto V Nurmikko
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2013-04       Impact factor: 3.833

Review 7.  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

8.  A 1024-Channel CMOS Microelectrode Array With 26,400 Electrodes for Recording and Stimulation of Electrogenic Cells In Vitro.

Authors:  Marco Ballini; Jan Müller; Paolo Livi; Yihui Chen; Urs Frey; Alexander Stettler; Amir Shadmani; Vijay Viswam; Ian Lloyd Jones; David Jäckel; Milos Radivojevic; Marta K Lewandowska; Wei Gong; Michele Fiscella; Douglas J Bakkum; Flavio Heer; Andreas Hierlemann
Journal:  IEEE J Solid-State Circuits       Date:  2014-11       Impact factor: 5.013

9.  Frequency-Division Multiplexing with Graphene Active Electrodes for Neurosensor Applications.

Authors:  Jinyong Kim; Carly V Fengel; Siyuan Yu; Ethan D Minot; Matthew L Johnston
Journal:  IEEE Trans Circuits Syst II Express Briefs       Date:  2021-03-17       Impact factor: 3.292

10.  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

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