Cited by 202Neuroscience and Neural EngineeringAnalog and Mixed-Signal Circuit DesignWireless Body Area Networks

WIMAGINE: Wireless 64-Channel ECoG Recording Implant for Long Term Clinical Applications

Open access
Mestais, Corinne S., Charvet, Guillaume, Sauter-Starace, Fabien, Foerster, Michael, Ratel, David, Benabid, Alim Louis·2015·IEEE Transactions on Neural Systems and Rehabilitation Engineering

Abstract

A wireless 64-channel ElectroCorticoGram (ECoG) recording implant named WIMAGINE has been designed for various clinical applications. The device is aimed at interfacing a cortical electrode array to an external computer for neural recording and control applications. This active implantable medical device is able to record neural activity on 64 electrodes with selectable gain and sampling frequency, with less than 1 μV(RMS) input referred noise in the [0.5 Hz - 300 Hz] band. It is powered remotely through an inductive link at 13.56 MHz which provides up to 100 mW. The digitized data is transmitted wirelessly to a custom designed base station connected to a PC. The hermetic housing and the antennae have been designed and optimized to ease the surgery. The design of this implant takes into account all the requirements of a clinical trial, in particular safety, reliability, and compliance with the regulations applicable to class III AIMD. The main features of this WIMAGINE implantable device and its architecture are presented, as well as its functional performances and long-term biocompatibility results.

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Crossref · 10.1109/tnsre.2014.2333541

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  • The WIMAGINE implantable recording system was designed for bilateral epidural implantation over the sensorimotor cortex.

    “The WIMAGINE implantable recording system was designed for bilateral epidural implantation over the sensorimotor cortex20.”

    From Walking naturally after spinal cord injury using a brain–spine interface (2023) · cites this paper as [20]

    Materials and Methods describes an implant whose electrodes contact the dura mater, and the Discussion says epidural implantation was chosen. The WIMAGINE Platform and UHF Communication sections describe two implants recording from both hemispheres, supporting bilateral use. Our copy does not specify that the implants were designed for placement over the sensorimotor cortex; its somatosensory-area example concerns a primate electrode array. (LLM, conf=0.84)

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Research works printed but not linked: 3

  1. E. C. Leuthardt, G. Schalk, J. R. Wolpaw, J. G. Ojemann, and D. W. Moran, "A brain-computer intefrace using ElectroCorticoGraphic sig- nals in humans," J. Neural Eng., no. 1, pp. 63-71, 2004.
  2. R. Scherer, B. Graimann, J. E. Huggins, S. P. Levine, and G. Pfurtscheller, "Frequency component selection for an ECoG-based brain-computer interface," Biomed. Tech. (Berl), vol. 48, pp. 31-36, 2003.
  3. S. Robinet, P. Audebert, G. Régis, B. Zongo, J. F. Bêche, C. Condemine, S. Filipe, and G. Charvet, "A low-power 0.7 VRMS 32-channel mixed- signal circuit for ECOG recordings," IEEE J. Emerging Sel. Topics Cir- cuits Syst., vol. 1, no. 4, pp. 451-460, Dec. 2011.

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Authors
Mestais, C. S., Charvet, G., Sauter-Starace, F., Foerster, M., Ratel, D., & Benabid, A. L.
Affiliations
Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR)
Venue
IEEE Transactions on Neural Systems and Rehabilitation Engineering
Published
2015-01
Volume
23
Issue
1
Pages
10-21
ISSN
  • 1534-4320 (ISSN-L)
  • 1558-0210
OpenAlex
W1977083402
Cited by
202
References
38
Citations by year
2026: 17 · 2025: 24 · 2024: 20 · 2023: 14 · 2022: 11 · 2021: 16 · 2020: 11 · 2019: 34 · 2018: 13 · 2017: 17 · 2016: 18 · 2015: 7
FWCI
6.40
Type
journal article
Language
en
Open access
Locations
  • IEEE Transactions on Neural Systems and Rehabilitation Engineering (publishedVersion)
  • PubMed (publishedVersion)
  • HAL (submittedVersion)
Funders
  • Fondation Nanosciences
  • Fondation de l'Avenir pour la Recherche Médicale Appliquée
  • Fondation Motrice
  • Merck KGaA
  • Agence Nationale de la Recherche
  • Edmond J. Safra Philanthropic Foundation
  • Institut Carnot Santé Animale
Topics
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
  • Physical Sciences › Engineering › Biomedical Engineering › Analog and Mixed-Signal Circuit Design
  • Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
Keywords
biomedical implants, neural recording, inductive power transfer, 13.56 MHz, biocompatibility, long-term implantation, neural control, Class III medical devices, wireless data transmission
MeSH terms
Animals, Electrodes, Implanted, Electroencephalography, Electronics, Equipment Design, Humans, Macaca fascicularis, Macaca mulatta, Materials Testing, Signal Processing, Computer-Assisted, Software, Neural Prostheses, Wireless Technology, Brain-Computer Interfaces

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