A 32-channel modular bi-directional neural interface system with embedded DSP for closed-loop operation

Peng Cong; Piyush Karande; Jonathan Landes; Rob Corey; Scott Stanslaski; Wes Santa; Randy Jensen; Forrest Pape; Dan Moran; Tim Denison

doi:10.1109/ESSCIRC.2014.6942031

A 32-channel modular bi-directional neural interface system with embedded DSP for closed-loop operation

Peng Cong, Piyush Karande, Jonathan Landes, Rob Corey, Scott Stanslaski, Wes Santa, Randy Jensen, Forrest Pape, Dan Moran, Tim Denison

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

22 Scopus citations

Abstract

A prototype bi-directional neural interface system is presented with closed-loop and embedded DSP capabilities. The system includes 32-electrode stimulation capability, eight multiplexed low-noise low-power bio-potential sensing channels with on-chip digital FFT, and a Cortex M3-based microcontroller for implementing closed-loop algorithms. The stimulation subsystem can provide a maximum stimulation current of 12mA with approximately 3% accuracy per channel. The sensing subsystem uses a fully differential chopping amplifier achieving a noise floor <100nV/rtHz with approximately 1μA current from 2V supply. A 13bit continuous-time sigma-delta ADC is used to sample the amplifier output at the rate of 33kHz. The ADC consumes approximately 100nA while achieving an ENOB of 12b with a 250Hz date rate. A hardware implementation of a cached-FFT is included in the sensing IC to perform spectral analysis of the bio-potential signal. The resulting multiple spectral signatures can be selectively sent to the microcontroller allowing for algorithmic control of the stimulator system. The system partition was designed to minimize overall computational power while providing user flexibility. The sensing performance of the prototype has been demonstrated with 2-D cursor control in a non-human primate brain machine interface (BMI) model using 20 features simultaneously.

Original language	English
Title of host publication	ESSCIRC 2014 - Proceedings of the 40th European Solid-State Circuit Conference
Editors	Pietro Andreani, Andrea Bevilacqua, Gaudenzio Meneghesso
Publisher	IEEE Computer Society
Pages	99-102
Number of pages	4
ISBN (Electronic)	9781479956944
DOIs	https://doi.org/10.1109/ESSCIRC.2014.6942031
State	Published - Oct 31 2014
Event	40th European Solid-State Circuit Conference, ESSCIRC 2014 - Venezia Lido, Italy Duration: Sep 22 2014 → Sep 26 2014

Publication series

Name	European Solid-State Circuits Conference
ISSN (Print)	1930-8833

Conference

Conference	40th European Solid-State Circuit Conference, ESSCIRC 2014
Country/Territory	Italy
City	Venezia Lido
Period	09/22/14 → 09/26/14

Keywords

CMOS circuit
embedded DSP
implantable system
low noise low power amplifier
neural interface

Access to Document

10.1109/ESSCIRC.2014.6942031

Cite this

Cong, P., Karande, P., Landes, J., Corey, R., Stanslaski, S., Santa, W., Jensen, R., Pape, F., Moran, D., & Denison, T. (2014). A 32-channel modular bi-directional neural interface system with embedded DSP for closed-loop operation. In P. Andreani, A. Bevilacqua, & G. Meneghesso (Eds.), ESSCIRC 2014 - Proceedings of the 40th European Solid-State Circuit Conference (pp. 99-102). Article 6942031 (European Solid-State Circuits Conference). IEEE Computer Society. https://doi.org/10.1109/ESSCIRC.2014.6942031

Cong, Peng ; Karande, Piyush ; Landes, Jonathan et al. / A 32-channel modular bi-directional neural interface system with embedded DSP for closed-loop operation. ESSCIRC 2014 - Proceedings of the 40th European Solid-State Circuit Conference. editor / Pietro Andreani ; Andrea Bevilacqua ; Gaudenzio Meneghesso. IEEE Computer Society, 2014. pp. 99-102 (European Solid-State Circuits Conference).

@inproceedings{86a192d3bbf84b8eb42729e49048ae55,

title = "A 32-channel modular bi-directional neural interface system with embedded DSP for closed-loop operation",

abstract = "A prototype bi-directional neural interface system is presented with closed-loop and embedded DSP capabilities. The system includes 32-electrode stimulation capability, eight multiplexed low-noise low-power bio-potential sensing channels with on-chip digital FFT, and a Cortex M3-based microcontroller for implementing closed-loop algorithms. The stimulation subsystem can provide a maximum stimulation current of 12mA with approximately 3% accuracy per channel. The sensing subsystem uses a fully differential chopping amplifier achieving a noise floor <100nV/rtHz with approximately 1μA current from 2V supply. A 13bit continuous-time sigma-delta ADC is used to sample the amplifier output at the rate of 33kHz. The ADC consumes approximately 100nA while achieving an ENOB of 12b with a 250Hz date rate. A hardware implementation of a cached-FFT is included in the sensing IC to perform spectral analysis of the bio-potential signal. The resulting multiple spectral signatures can be selectively sent to the microcontroller allowing for algorithmic control of the stimulator system. The system partition was designed to minimize overall computational power while providing user flexibility. The sensing performance of the prototype has been demonstrated with 2-D cursor control in a non-human primate brain machine interface (BMI) model using 20 features simultaneously.",

keywords = "CMOS circuit, embedded DSP, implantable system, low noise low power amplifier, neural interface",

author = "Peng Cong and Piyush Karande and Jonathan Landes and Rob Corey and Scott Stanslaski and Wes Santa and Randy Jensen and Forrest Pape and Dan Moran and Tim Denison",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 40th European Solid-State Circuit Conference, ESSCIRC 2014 ; Conference date: 22-09-2014 Through 26-09-2014",

year = "2014",

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doi = "10.1109/ESSCIRC.2014.6942031",

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Cong, P, Karande, P, Landes, J, Corey, R, Stanslaski, S, Santa, W, Jensen, R, Pape, F, Moran, D & Denison, T 2014, A 32-channel modular bi-directional neural interface system with embedded DSP for closed-loop operation. in P Andreani, A Bevilacqua & G Meneghesso (eds), ESSCIRC 2014 - Proceedings of the 40th European Solid-State Circuit Conference., 6942031, European Solid-State Circuits Conference, IEEE Computer Society, pp. 99-102, 40th European Solid-State Circuit Conference, ESSCIRC 2014, Venezia Lido, Italy, 09/22/14. https://doi.org/10.1109/ESSCIRC.2014.6942031

A 32-channel modular bi-directional neural interface system with embedded DSP for closed-loop operation. / Cong, Peng; Karande, Piyush; Landes, Jonathan et al.
ESSCIRC 2014 - Proceedings of the 40th European Solid-State Circuit Conference. ed. / Pietro Andreani; Andrea Bevilacqua; Gaudenzio Meneghesso. IEEE Computer Society, 2014. p. 99-102 6942031 (European Solid-State Circuits Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Cong, Peng

AU - Karande, Piyush

AU - Landes, Jonathan

AU - Corey, Rob

AU - Stanslaski, Scott

AU - Santa, Wes

AU - Jensen, Randy

AU - Pape, Forrest

AU - Moran, Dan

AU - Denison, Tim

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N2 - A prototype bi-directional neural interface system is presented with closed-loop and embedded DSP capabilities. The system includes 32-electrode stimulation capability, eight multiplexed low-noise low-power bio-potential sensing channels with on-chip digital FFT, and a Cortex M3-based microcontroller for implementing closed-loop algorithms. The stimulation subsystem can provide a maximum stimulation current of 12mA with approximately 3% accuracy per channel. The sensing subsystem uses a fully differential chopping amplifier achieving a noise floor <100nV/rtHz with approximately 1μA current from 2V supply. A 13bit continuous-time sigma-delta ADC is used to sample the amplifier output at the rate of 33kHz. The ADC consumes approximately 100nA while achieving an ENOB of 12b with a 250Hz date rate. A hardware implementation of a cached-FFT is included in the sensing IC to perform spectral analysis of the bio-potential signal. The resulting multiple spectral signatures can be selectively sent to the microcontroller allowing for algorithmic control of the stimulator system. The system partition was designed to minimize overall computational power while providing user flexibility. The sensing performance of the prototype has been demonstrated with 2-D cursor control in a non-human primate brain machine interface (BMI) model using 20 features simultaneously.

AB - A prototype bi-directional neural interface system is presented with closed-loop and embedded DSP capabilities. The system includes 32-electrode stimulation capability, eight multiplexed low-noise low-power bio-potential sensing channels with on-chip digital FFT, and a Cortex M3-based microcontroller for implementing closed-loop algorithms. The stimulation subsystem can provide a maximum stimulation current of 12mA with approximately 3% accuracy per channel. The sensing subsystem uses a fully differential chopping amplifier achieving a noise floor <100nV/rtHz with approximately 1μA current from 2V supply. A 13bit continuous-time sigma-delta ADC is used to sample the amplifier output at the rate of 33kHz. The ADC consumes approximately 100nA while achieving an ENOB of 12b with a 250Hz date rate. A hardware implementation of a cached-FFT is included in the sensing IC to perform spectral analysis of the bio-potential signal. The resulting multiple spectral signatures can be selectively sent to the microcontroller allowing for algorithmic control of the stimulator system. The system partition was designed to minimize overall computational power while providing user flexibility. The sensing performance of the prototype has been demonstrated with 2-D cursor control in a non-human primate brain machine interface (BMI) model using 20 features simultaneously.

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Cong P, Karande P, Landes J, Corey R, Stanslaski S, Santa W et al. A 32-channel modular bi-directional neural interface system with embedded DSP for closed-loop operation. In Andreani P, Bevilacqua A, Meneghesso G, editors, ESSCIRC 2014 - Proceedings of the 40th European Solid-State Circuit Conference. IEEE Computer Society. 2014. p. 99-102. 6942031. (European Solid-State Circuits Conference). doi: 10.1109/ESSCIRC.2014.6942031

A 32-channel modular bi-directional neural interface system with embedded DSP for closed-loop operation

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