Literature DB >> 27845676

A Bidirectional Neural Interface IC With Chopper Stabilized BioADC Array and Charge Balanced Stimulator.

Elliot Greenwald, Ernest So, Qihong Wang, Mohsen Mollazadeh, Christoph Maier, Ralph Etienne-Cummings, Gert Cauwenberghs, Nitish Thakor.   

Abstract

We present a bidirectional neural interface with a 4-channel biopotential analog-to-digital converter (bioADC) and a 4-channel current-mode stimulator in 180 nm CMOS. The bioADC directly transduces microvolt biopotentials into a digital representation without a voltage-amplification stage. Each bioADC channel comprises a continuous-time first-order ∆Σ modulator with a chopper-stabilized OTA input and current feedback, followed by a second-order comb-filter decimator with programmable oversampling ratio. Each stimulator channel contains two independent digital-to-analog converters for anodic and cathodic current generation. A shared calibration circuit matches the amplitude of the anodic and cathodic currents for charge balancing. Powered from a 1.5 V supply, the analog and digital circuits in each recording channel draw on average [Formula: see text] and [Formula: see text] of supply current, respectively. The bioADCs achieve an SNR of [Formula: see text] and a SFDR of [Formula: see text] , for better than 9-b ENOB. Intracranial EEG recordings from an anesthetized rat are shown and compared to simultaneous recordings from a commercial reference system to validate performance in-vivo . Additionally, we demonstrate bidirectional operation by recording cardiac modulation induced through vagus nerve stimulation, and closed-loop control of cardiac rhythm. The micropower operation, direct digital readout, and integration of electrical stimulation circuits make this interface ideally suited for closed-loop neuromodulation applications.

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Year:  2016        PMID: 27845676      PMCID: PMC5258841          DOI: 10.1109/TBCAS.2016.2614845

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


  12 in total

1.  Design and validation of a fully implantable, chronic, closed-loop neuromodulation device with concurrent sensing and stimulation.

Authors:  Scott Stanslaski; Pedram Afshar; Peng Cong; Jon Giftakis; Paul Stypulkowski; Dave Carlson; Dave Linde; Dave Ullestad; Al-Thaddeus Avestruz; Timothy Denison
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2012-01-23       Impact factor: 3.802

2.  A neurophysiological-metabolic model for burst suppression.

Authors:  Shinung Ching; Patrick L Purdon; Sujith Vijayan; Nancy J Kopell; Emery N Brown
Journal:  Proc Natl Acad Sci U S A       Date:  2012-02-07       Impact factor: 11.205

3.  Model-Based Design and Experimental Validation of Control Modules for Neuromodulation Devices.

Authors:  Hector M Romero Ugalde; David Ojeda; Virginie Le Rolle; David Andreu; David Guiraud; Jean-L Bonnet; Christine Henry; Nicole Karam; Albert Hagege; Philippe Mabo; Guy Carrault; Alfredo I Hernandez
Journal:  IEEE Trans Biomed Eng       Date:  2015-11-09       Impact factor: 4.538

4.  Closed-loop control of the heart rate by electrical stimulation of the vagus nerve.

Authors:  Marco Tosato; Ken Yoshida; Egon Toft; Vitas Nekrasas; Johannes J Struijk
Journal:  Med Biol Eng Comput       Date:  2006-03-15       Impact factor: 2.602

5.  A low-power 32-channel digitally programmable neural recording integrated circuit.

Authors:  W Wattanapanitch; R Sarpeshkar
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2011-12       Impact factor: 3.833

6.  A Low-Power Blocking-Capacitor-Free Charge-Balanced Electrode-Stimulator Chip With Less Than 6 nA DC Error for 1-mA Full-Scale Stimulation.

Authors:  R Sarpeshkar
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2007-09       Impact factor: 3.833

7.  Flexible charge balanced stimulator with 5.6 fC accuracy for 140 nC injections.

Authors:  Sudip Nag; Xiaofeng Jia; Nitish V Thakor; Dinesh Sharma
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2013-06       Impact factor: 3.833

8.  Closed-loop deep brain stimulation is superior in ameliorating parkinsonism.

Authors:  Boris Rosin; Maya Slovik; Rea Mitelman; Michal Rivlin-Etzion; Suzanne N Haber; Zvi Israel; Eilon Vaadia; Hagai Bergman
Journal:  Neuron       Date:  2011-10-20       Impact factor: 17.173

9.  Responsive cortical stimulation for the treatment of medically intractable partial epilepsy.

Authors:  Martha J Morrell
Journal:  Neurology       Date:  2011-09-14       Impact factor: 9.910

10.  Design and performance of a multichannel vestibular prosthesis that restores semicircular canal sensation in rhesus monkey.

Authors:  Bryce Chiang; Gene Y Fridman; Chenkai Dai; Mehdi A Rahman; Charles C Della Santina
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2011-08-18       Impact factor: 3.802

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  6 in total

1.  A Bidirectional Neural Interface SoC With Adaptive IIR Stimulation Artifact Cancelers.

Authors:  Aria Samiei; Hossein Hashemi
Journal:  IEEE J Solid-State Circuits       Date:  2021-02-09       Impact factor: 6.126

2.  Data Driven Control of Vagus Nerve Stimulation for the Cardiovascular System: An in Silico Computational Study.

Authors:  Andrew Branen; Yuyu Yao; Mayuresh V Kothare; Babak Mahmoudi; Gautam Kumar
Journal:  Front Physiol       Date:  2022-06-03       Impact factor: 4.755

3.  Telemetry-controlled simultaneous stimulation-and-recording device (SRD) to study interhemispheric cortical circuits in rat primary somatosensory (SI) cortex.

Authors:  John T Ramshur; Bashir I Morshed; Amy L de Jongh Curry; Robert S Waters
Journal:  BMC Biomed Eng       Date:  2019-08-08

4.  A Trimodal Wireless Implantable Neural Interface System-on-Chip.

Authors:  Yaoyao Jia; Ulkuhan Guler; Yen-Pang Lai; Yan Gong; Arthur Weber; Wen Li; Maysam Ghovanloo
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2020-12-31       Impact factor: 3.833

5.  A high-performance 4 nV (√Hz)-1 analog front-end architecture for artefact suppression in local field potential recordings during deep brain stimulation.

Authors:  Konstantinos Petkos; Thomas Guiho; Patrick Degenaar; Andrew Jackson; Peter Brown; Timothy Denison; Emmanuel M Drakakis
Journal:  J Neural Eng       Date:  2019-10-09       Impact factor: 5.379

6.  Highly Configurable 100 Channel Recording and Stimulating Integrated Circuit for Biomedical Experiments.

Authors:  Piotr Kmon
Journal:  Sensors (Basel)       Date:  2021-12-20       Impact factor: 3.576

  6 in total

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