A multi-channel peripheral nerve stimulator with integrate-and-fire encoding.

Prosthetic device control compound nerve action potential neural stimulation stimulation analog front-end chip (SAFE)

Journal

Journal of medical engineering & technology
ISSN: 1464-522X
Titre abrégé: J Med Eng Technol
Pays: England
ID NLM: 7702125

Informations de publication

Date de publication:
Apr 2021
Historique:
pubmed: 18 3 2021
medline: 29 10 2021
entrez: 17 3 2021
Statut: ppublish

Résumé

Activation of peripheral nervous system (PNS) fibres to produce variable tactile and proprioceptive sensations in advanced bidirectional prosthetic limbs relies on neural stimulators with high spatial selectivity, dynamic range and resolution. A multi-channel application-specific integrated circuit (ASIC) is developed for PNS fibre activation using a wide dynamic range (10 nA-5 mA), high-resolution (30 nA step, 100 ns pulse accuracy) current stimulator, dissipating 0.73-2.75 mW at 3 V. The ASIC also enables encoding of external pressure signals

Identifiants

pubmed: 33729074
doi: 10.1080/03091902.2021.1891311
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

187-196

Auteurs

Aritra Kundu (A)

Department of Neurology, Dell Medical School, The University of Texas at Austin, Austin, TX, USA.

Ahmed Fahmy (A)

Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA.

Ryan Madler (R)

Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA.

Kevin Otto (K)

Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA.

Erin Patrick (E)

Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA.

Jose Principe (J)

Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA.

Nima Maghari (N)

Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA.

Rizwan Bashirullah (R)

Galvani Bioelectronics, South San Francisco, CA, USA.

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Classifications MeSH