An ultra-compact low-powered closed-loop device for control of the neuromuscular system

Davide Polese; Luca Pazzini; Ignacio Delgado-Martínez; Luca Maiolo; Xavier Navarro; Guglielmo Fortunato

doi:10.1007/978-3-319-68600-4_8

An ultra-compact low-powered closed-loop device for control of the neuromuscular system

Davide Polese^*, Luca Pazzini, Ignacio Delgado-Martínez, Luca Maiolo, Xavier Navarro, Guglielmo Fortunato

^*Corresponding author for this work

Department of Cellular Biology, Physiology and Immunology

National Research Council of Italy

Research output: Contribution to journal › Article › Research › peer-review

1 Citation (Scopus)

Abstract

Neuroprosthetic interfaces require light-weighted and power-optimized systems that combine acquisition and stimulation together with a computational unit capable to perform on-line analysis for closed-loop control. Here, we present an ultra-compact and low-power system able to acquire from 32 channels and stimulate independently using both current and voltage. The system has been validated in vivo for rats in the recording of spontaneous and evoked potentials and peripheral nerve stimulation, and it was tested to reproduce the muscular activity involved in gait. This device has potential application in long-term clinical therapies for the restoration of limb control and it can become a development platform for closed loop algorithms in neuromuscular interfaces.

Original language	English
Pages (from-to)	60-67
Number of pages	8
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10613
DOIs	https://doi.org/10.1007/978-3-319-68600-4_8
Publication status	Published - 2017

Keywords

Closed-loop
EMG
Motor prosthesis
Nerve stimulation
Neuro-prosthetic

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Polese, D., Pazzini, L., Delgado-Martínez, I., Maiolo, L., Navarro, X., & Fortunato, G. (2017). An ultra-compact low-powered closed-loop device for control of the neuromuscular system. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10613, 60-67. https://doi.org/10.1007/978-3-319-68600-4_8

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abstract = "Neuroprosthetic interfaces require light-weighted and power-optimized systems that combine acquisition and stimulation together with a computational unit capable to perform on-line analysis for closed-loop control. Here, we present an ultra-compact and low-power system able to acquire from 32 channels and stimulate independently using both current and voltage. The system has been validated in vivo for rats in the recording of spontaneous and evoked potentials and peripheral nerve stimulation, and it was tested to reproduce the muscular activity involved in gait. This device has potential application in long-term clinical therapies for the restoration of limb control and it can become a development platform for closed loop algorithms in neuromuscular interfaces.",

keywords = "Closed-loop, EMG, Motor prosthesis, Nerve stimulation, Neuro-prosthetic",

author = "Davide Polese and Luca Pazzini and Ignacio Delgado-Mart{\'i}nez and Luca Maiolo and Xavier Navarro and Guglielmo Fortunato",

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doi = "10.1007/978-3-319-68600-4\_8",

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Polese, D, Pazzini, L, Delgado-Martínez, I, Maiolo, L, Navarro, X & Fortunato, G 2017, 'An ultra-compact low-powered closed-loop device for control of the neuromuscular system', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10613, pp. 60-67. https://doi.org/10.1007/978-3-319-68600-4_8

An ultra-compact low-powered closed-loop device for control of the neuromuscular system. / Polese, Davide; Pazzini, Luca; Delgado-Martínez, Ignacio et al.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 10613, 2017, p. 60-67.

Research output: Contribution to journal › Article › Research › peer-review

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T1 - An ultra-compact low-powered closed-loop device for control of the neuromuscular system

AU - Polese, Davide

AU - Pazzini, Luca

AU - Delgado-Martínez, Ignacio

AU - Maiolo, Luca

AU - Navarro, Xavier

AU - Fortunato, Guglielmo

N1 - Publisher Copyright: © Springer International Publishing AG 2017.

PY - 2017

Y1 - 2017

N2 - Neuroprosthetic interfaces require light-weighted and power-optimized systems that combine acquisition and stimulation together with a computational unit capable to perform on-line analysis for closed-loop control. Here, we present an ultra-compact and low-power system able to acquire from 32 channels and stimulate independently using both current and voltage. The system has been validated in vivo for rats in the recording of spontaneous and evoked potentials and peripheral nerve stimulation, and it was tested to reproduce the muscular activity involved in gait. This device has potential application in long-term clinical therapies for the restoration of limb control and it can become a development platform for closed loop algorithms in neuromuscular interfaces.

AB - Neuroprosthetic interfaces require light-weighted and power-optimized systems that combine acquisition and stimulation together with a computational unit capable to perform on-line analysis for closed-loop control. Here, we present an ultra-compact and low-power system able to acquire from 32 channels and stimulate independently using both current and voltage. The system has been validated in vivo for rats in the recording of spontaneous and evoked potentials and peripheral nerve stimulation, and it was tested to reproduce the muscular activity involved in gait. This device has potential application in long-term clinical therapies for the restoration of limb control and it can become a development platform for closed loop algorithms in neuromuscular interfaces.

KW - Closed-loop

KW - EMG

KW - Motor prosthesis

KW - Nerve stimulation

KW - Neuro-prosthetic

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U2 - 10.1007/978-3-319-68600-4_8

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SN - 0302-9743

VL - 10613

SP - 60

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JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ER -

An ultra-compact low-powered closed-loop device for control of the neuromuscular system

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