WIMAGINE: Wireless 64-Channel ECoG Recording Implant for Long Term Clinical Applications
Open accessAbstract
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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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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Cites
Neuronal ensemble control of prosthetic devices by a human with tetraplegia
Hochberg, L. R., Serruya, M. D., Friehs, G. M., Mukand, J. A., Saleh, M., Caplan, A. H., Branner, A., Chen, D., Penn, R. D., & Donoghue, J. P. (2006) · Nature · doi:10.1038/nature04970 · Cited by 3,295 · see citing works
Georgopoulos, A. P., Kalaska, J. F., Caminiti, R., & Massey, J. (1982) · Journal of Neuroscience · doi:10.1523/jneurosci.02-11-01527.1982 · Cited by 2,133 · see citing works
Cortical control of a prosthetic arm for self-feeding
Velliste, M., Perel, S., Spalding, M. C., Whitford, A. S., & Schwartz, A. B. (2008) · Nature · doi:10.1038/nature06996 · Cited by 1,591 · see citing works
Direct Cortical Control of 3D Neuroprosthetic Devices
Taylor, D. M., Tillery, S. I. H., & Schwartz, A. B. (2002) · Science · doi:10.1126/science.1070291 · Cited by 1,542 · see citing works
Instant neural control of a movement signal
Serruya, M. D., Hatsopoulos, N. G., Paninski, L., Fellows, M. R., & Donoghue, J. P. (2002) · Nature · doi:10.1038/416141a · Cited by 1,415 · see citing works
A brain–computer interface using electrocorticographic signals in humans
Leuthardt, E. C., Schalk, G., Wolpaw, J. R., Ojemann, J. G., & Moran, D. W. (2004) · Journal of Neural Engineering · doi:10.1088/1741-2560/1/2/001 · Cited by 1,188 · see citing works
Motor Cortical Representation of Speed and Direction During Reaching
Moran, D. W., & Schwartz, A. B. (1999) · Journal of Neurophysiology · doi:10.1152/jn.1999.82.5.2676 · Cited by 813 · see citing works
Chronic recording capability of the Utah Intracortical Electrode Array in cat sensory cortex
Rousche, P. J., & Normann, R. A. (1998) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(98)00031-4 · Cited by 646 · see citing works
Schwartz, A., Kettner, R. E., & Georgopoulos, A. P. (1988) · Journal of Neuroscience · doi:10.1523/jneurosci.08-08-02913.1988 · Cited by 565 · see citing works
Decoding two-dimensional movement trajectories using electrocorticographic signals in humans
Schalk, G., Kubanek, J., Miller, K. J., Anderson, N., Leuthardt, E. C., Ojemann, J. G., Limbrick, D. D., Moran, D. W., Gerhardt, L. A., & Wolpaw, J. R. (2007) · Journal of Neural Engineering · doi:10.1088/1741-2560/4/3/012 · Cited by 527 · see citing works
Two-dimensional movement control using electrocorticographic signals in humans
Schalk, G., Miller, K. J., Anderson, N., Wilson, J. A., Smyth, M. D., Ojemann, J. G., Moran, D. W., Wolpaw, J. R., & Leuthardt, E. C. (2008) · Journal of Neural Engineering · doi:10.1088/1741-2560/5/1/008 · Cited by 481 · see citing works
Suner, S., Fellows, M. R., Vargas-Irwin, C., Nakata, G. K., & Donoghue, J. P. (2005) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2005.857687 · Cited by 415 · see citing works
Prediction of arm movement trajectories from ECoG-recordings in humans
Tobias Pistohl, A., Tonio Ball, A., Schulze‐Bonhage, A., Aertsen, A., & Mehring, C. (2007) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2007.10.001 · Cited by 330 · see citing works
An implantable wireless neural interface for recording cortical circuit dynamics in moving primates
Borton, D. A., Yin, M., Aceros, J. C., & Nurmikko, A. V. (2013) · Journal of Neural Engineering · doi:10.1088/1741-2560/10/2/026010 · Cited by 318 · see citing works
Decoding flexion of individual fingers using electrocorticographic signals in humans
Kubanek, J., Miller, K. J., Ojemann, J. G., Wolpaw, J. R., & Schalk, G. (2009) · Journal of Neural Engineering · doi:10.1088/1741-2560/6/6/066001 · Cited by 286 · see citing works
Liu, X., McCreery, D. B., Carter, R. R., Bullara, L. A., Yuen, T. G. H., & Agnew, W. F. (1999) · IEEE Transactions on Rehabilitation Engineering · doi:10.1109/86.788468 · Cited by 272 · see citing works
Decoding natural grasp types from human ECoG
Tobias Pistohl, A., Schulze‐Bonhage, A., Aertsen, A., Mehring, C., & Tonio Ball, A. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.06.084 · Cited by 249 · see citing works
Electrocorticography-based brain computer Interface-the seattle experience
Leuthardt, E. C., Miller, K. J., Schalk, G., Rao, R. P. N., & Ojemann, J. G. (2006) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2006.875536 · Cited by 241 · see citing works
Brain-Computer Interface in Stroke: A Review of Progress
Silvoni, S., Ramos‐Murguialday, A., Cavinato, M., Volpato, C., Cisotto, G., Turolla, A., Piccione, F., & Birbaumer, N. (2011) · Clinical EEG and Neuroscience · doi:10.1177/155005941104200410 · Cited by 225 · see citing works
Wireless Neural Recording With Single Low-Power Integrated Circuit
Harrison, R. R., Kier, R. J., Chestek, C. A., Gilja, V., Nuyujukian, P., Ryu, S. I., Greger, B. E., Solzbacher, F., & Shenoy, K. V. (2009) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2009.2023298 · Cited by 209 · see citing works
Seese, T. M., Harasaki, H., Saidel, G. M., & Davies, C. R. (1998) · PubMed · Cited by 174 · see citing works
Felton, E. A., Wilson, J. A., Williams, J. C., & Garell, P. C. (2007) · Journal of neurosurgery · doi:10.3171/jns.2007.106.3.495 · Cited by 154 · see citing works
Motor Cortical Representation of Position and Velocity During Reaching
Wang, W., Chan, S. S., Heldman, D. A., & Moran, D. W. (2007) · Journal of Neurophysiology · doi:10.1152/jn.01180.2006 · Cited by 145 · see citing works
Mehring, C., Nawrot, M. P., de Oliveira, S. C., Vaadia, E., Schulze‐Bonhage, A., Aertsen, A., & Tonio Ball, A. (2004) · Journal of Physiology-Paris · doi:10.1016/j.jphysparis.2005.09.016 · Cited by 102 · see citing works
A fully implantable 96-channel neural data acquisition system
Rizk, M., Bossetti, C. A., Jochum, T. A., Callender, S. H., Nicolelis, M. A. L., Turner, D. A., & Wolf, P. D. (2009) · Journal of Neural Engineering · doi:10.1088/1741-2560/6/2/026002 · Cited by 89 · see citing works
Extraction and localization of mesoscopic motor control signals for human ECoG neuroprosthetics
Sanchez, J. C., Gunduz, A., Carney, P. R., & Príncipe, J. C. (2007) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2007.04.019 · Cited by 86 · see citing works
Hirata, M., Matsushita, K., Suzuki, T. J., Yoshida, T., Satō, F., Morris, S., Yanagisawa, T., Goto, T., Kawato, M., & Yoshimine, T. (2011) · IEICE Transactions on Communications · doi:10.1587/transcom.e94.b.2448 · Cited by 51 · see citing works
Rouse, A. G., & Moran, D. W. (2009) · doi:10.1109/iembs.2009.5333180 · Cited by 42 · see citing works
Schüettler, M., Kohler, F., Ordonez, J. S., & Stieglitz, T. (2012) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2012.6346816 · Cited by 40 · see citing works
Motor Cortical Representation of Hand Translation and Rotation during Reaching
Wang, W., Chan, S. S., Heldman, D. A., & Moran, D. W. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.3742-09.2010 · Cited by 38 · see citing works
Recursive N-Way Partial Least Squares for Brain-Computer Interface
Eliseyev, A., & Aksenova, T. (2013) · PLoS ONE · doi:10.1371/journal.pone.0069962 · Cited by 35 · see citing works
L1-Penalized N-way PLS for subset of electrodes selection in BCI experiments
Eliseyev, A., Moro, C., Faber, J., et al. (2012) · Journal of Neural Engineering · doi:10.1088/1741-2560/9/4/045010 · Cited by 35 · see citing works
Thil, M., Duy, D. T., Colin, I. M., & Delbeke, J. (2007) · Journal of Neuroimmunology · doi:10.1016/j.jneuroim.2007.01.021 · Cited by 34 · see citing works
A Low-Power 0.7 $\mu {\rm V_{rms}}$ 32-Channel Mixed-Signal Circuit for ECoG Recordings
Robinet, S., Audebert, P., Regis, G., Zongo, B., Beche, J.-F., Condemine, C., Filipe, S., & Charvet, G. (2011) · IEEE Journal on Emerging and Selected Topics in Circuits and Systems · doi:10.1109/jetcas.2011.2180835 · Cited by 30 · see citing works
Self-citationEliseyev, A., Moro, C., Costecalde, T., Torres-Martinez, N., Gharbi, S., Mestais, C., Benabid, A. L., & Aksenova, T. (2011) · Journal of Neural Engineering · doi:10.1088/1741-2560/8/4/046012 · Cited by 17 · see citing works
Self-citationScherer, R., Graimann, B., Huggins, J. E., et al. (2003) · Biomedizinische Technik/Biomedical Engineering · doi:10.1515/bmte.2003.48.1-2.31 · Cited by 14 · see citing works
Foerster, M., Porcherot, J., Bonnet, S., van Langhenhove, A., Robinet, S., & Charvet, G. (2012) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas.2012.6418454 · Cited by 6 · see citing works
Self-citationA synchronization method for wireless acquisition systems, application to brain computer interfaces
Foerster, M., Bonnet, S., van Langhenhove, A., et al. (2013) · doi:10.1109/embc.2013.6609629 · Cited by 3 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 3
- 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.
- 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.
- 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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Walking naturally after spinal cord injury using a brain–spine interface
Lorach, H., Galvez, A., Spagnolo, V., Martel, F., Karakas, S., Intering, N., Vat, M., Faivre, O., Harte, C., Komi, S., et al. (2023) · Nature · doi:10.1038/s41586-023-06094-5 · Cited by 631 · see citing works
“The WIMAGINE implantable recording system was designed for bilateral epidural implantation over the sensorimotor cortex 20 .”
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Nason, S. R., Vaskov, A. K., Willsey, M. S., Welle, E. J., An, H., Vu, P. P., Bullard, A. J., Nu, C. S., Kao, J. C., Shenoy, K. V., et al. (2020) · Nature Biomedical Engineering · doi:10.1038/s41551-020-0591-0 · Cited by 113 · see citing works
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Moly, A., Costecalde, T., Martel, F., Martin, M., Larzabal, C., Karakas, S., Verney, A., Charvet, G., Chabardes, S., Benabid, A. L., et al. (2022) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac59a0 · Cited by 65 · see citing works
Self-citationEliseyev, A., Auboiroux, V., Costecalde, T., Langar, L., Charvet, G., Mestais, C., Aksenova, T., & Benabid, A.-L. (2017) · Scientific Reports · doi:10.1038/s41598-017-16579-9 · Cited by 42 · see citing works
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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
- bronze
- doi.org
- 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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