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  4. A Software Tool for the Real-Time in Vivo Evaluation of Neural Electrodes' Selectivity
 
conference paper

A Software Tool for the Real-Time in Vivo Evaluation of Neural Electrodes' Selectivity

Strauss, Ivo
•
De Luca, Daniela
•
Panarese, Adele M.
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January 1, 2021
2021 10Th International Ieee/Embs Conference On Neural Engineering (Ner)
10th International IEEE-EMBS Conference on Neural Engineering (NER)

High neural selectivity is an important indicator of how well a neural electrode will perform in a clinical setup. Among other factors, neural selectivity of an electrode strongly depends on its implant location. Today, the neural selectivity is evaluated by performing animal experiments and consequent offline analysis. The most selective electrode implant location is therefore difficult to predict. Here we developed a software tool to characterize neural electrodes' selectivity in real-time, in vivo. A graphical user interface (GUI) allows controlling the software tool. Our tool is adapted to use a commercially available neurostimulator (TDT, Tucker-Davis Technologies, US) but can be easily adapted to other systems. Electromyographic ( EMG) recruitment curves and selectivity indexes (SIs) were obtained stimulating the sciatic nerve of four pigs. The functionality, execution time of stimulation and correct SI calculation by the software-platform were evaluated by testing twelve intraneural electrodes.

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Type
conference paper
DOI
10.1109/NER49283.2021.9441334
Web of Science ID

WOS:000681358200023

Author(s)
Strauss, Ivo
•
De Luca, Daniela
•
Panarese, Adele M.
•
Bernini, Fabio
•
Gabisonia, Khatia
•
Petrini, Francesco M.
•
Recchia, Fabio A.
•
Raspopovic, Stanisa
•
Micera, Silvestro  
Date Issued

2021-01-01

Publisher

IEEE

Publisher place

New York

Published in
2021 10Th International Ieee/Embs Conference On Neural Engineering (Ner)
ISBN of the book

978-1-7281-4337-8

Series title/Series vol.

International IEEE EMBS Conference on Neural Engineering

Start page

112

End page

115

Subjects

Computer Science, Theory & Methods

•

Engineering, Biomedical

•

Neurosciences

•

Computer Science

•

Engineering

•

Neurosciences & Neurology

•

stimulation

Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
TNE  
Event nameEvent placeEvent date
10th International IEEE-EMBS Conference on Neural Engineering (NER)

Prague, ELECTR NETWORK

May 04-06, 2021

Available on Infoscience
August 28, 2021
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/180942
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