WIMAGINE&lt;sup&gt;&amp;#x00AE;&lt;/sup&gt;: 64-channel ECoG recording implant for human applications

Charvet, Guillaume; Sauter-Starace, Fabien; Foerster, M.; Ragazzoni, David; Chabrol, C.; Porcherot, J.; Robinet, S.; Reverdy, Jacques; D’Errico, Raffaele; Mestais, C.; Benabid, Alim‐Louis

doi:10.1109/embc.2013.6610111

Cited by 8 publications

(10 citation statements)

References 7 publications

(5 reference statements)

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“…Another approach taken by [57] is to replace parts of the skull directly with the implant or components of the external base-station [58] but this leaves the skull constantly open.…”

Section: Discussionmentioning

confidence: 99%

Open Hardware: Towards a Fully-Wireless Sub-Cranial Neuro-Implant for Measuring Electrocorticography Signals

Rotermund

Pistor

Hoeffmann

et al. 2016

Preprint

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Implantable invasive neuronal interfaces to the brain are an important keystone for many interesting future medical applications. However, entering this field of research is difficult since such an implant requires components from many different fields of technology. Beside the required amplifiers, analog-digital-converters and data processing, the complete avoidance of wires is important because it reduces the risk of infection and prevents long-term bio-mechanical problems. Thus, means for wireless transmitting data and energy are also necessary.We present a module, containing the necessary components for wireless data transfer and inductive powering for such implantable neural systems, and its base station. They are completely built of commercial off-the-shelf (COTS) components and the design files are available as Open Hardware / Open Source. The data is transmitted via Microsemi ZL70102 transceivers and custom Tx/Rx antennas for bidirectional communication using frequencies in the MICS band, with a maximal data rate of 515 kbit/s. The energy is transmitted via a wireless inductive energy-link based on the Qi standard. On the implant site a handwound litz wire coil harvests energy from the magnetic field and delivers, over a short distance, more than enough inductive power to the fully implantable unit.Based on this wireless module we also present a fully wireless neuronal implant for simultaneously measuring electrocorticographic (ECoG) signals at 128 locations from the surface of the brain. The implant is based on a flexible printed circuit board and is aimed to be implanted under the skull. 1The application-specific integrated circuit (ASIC) was designed in-house and allows to adapt the data processing of the implant to changing user-defined parameters.

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“…Another approach taken by [57] is to replace parts of the skull directly with the implant or components of the external base-station [58] but this leaves the skull constantly open.…”

Section: Discussionmentioning

confidence: 99%

Open Hardware: Towards a Fully-Wireless Sub-Cranial Neuro-Implant for Measuring Electrocorticography Signals

Rotermund

Pistor

Hoeffmann

et al. 2016

Preprint

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“…It allows reading each sensor, performing various tests, starting an acquisition and displaying the acquired data. The interface has been designed using LabView because it is easily adaptable and expandable; for experiments requiring a tool-chain for performing realtime signal processing the KDI has been made compatible with the C++ written PC interface described in [7].…”

Section: Pc Interfacementioning

confidence: 99%

“…Moreover, it will integrate from start the constraints associated with class III active implantable medical devices in order to reduce the time needed from preclinical proof of concept to clinical trial. One of the first applications of the KDI will be the development of future generations of WIMAGINE (see [7]) implants.…”

Section: Introductionmentioning

confidence: 99%

“…In particular, CLINATEC has developed a wireless 64-channel ECoG recording implant for long term clinical applications [7]. These implants incorporate the amplification and digitization of the neural signals as well as connectors but carry severe regulatory constraints regarding, among others, biocompatibility, tissue heating, non-ionizing radiation emission and leakage currents.…”

Section: Introductionmentioning

confidence: 99%

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KDI: A wireless power-efficient modular platform for pre-clinical evaluation of implantable neural recording designs

Foerster

Burdin

Seignon

et al. 2014

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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This paper presents a power-efficient modular wireless platform which has been designed for prototyping and pre-clinical evaluations of neural recording implants. This Kit for Designing Implants (KDI) is separated in function specific modules of 34×34mm which can be assembled as needed. Five modules have been designed and optimized for ultra-low power consumption and a protective casing has been designed for pre-clinical trials. Two different wireless modules have been compared and the KDI performances have been evaluated in terms of modularity, wireless throughput and power consumption.

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“…Placing the electronics between the skull and the scalp protected the brain from a direct thermal load, current leakage and contamination. In [27], the system with sensor arrays was placed inside a 50-mm craniotomy with the sensor side in direct contact with dura mater. Meanwhile, the antenna is placed between the skull and the scalp.…”

Section: Bidirectional Bmi Design Challengesmentioning

confidence: 99%

A Wireless 32-Channel Implantable Bidirectional Brain Machine Interface

Routhu

Moon

et al. 2016

Sensors

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All neural information systems (NIS) rely on sensing neural activity to supply commands and control signals for computers, machines and a variety of prosthetic devices. Invasive systems achieve a high signal-to-noise ratio (SNR) by eliminating the volume conduction problems caused by tissue and bone. An implantable brain machine interface (BMI) using intracortical electrodes provides excellent detection of a broad range of frequency oscillatory activities through the placement of a sensor in direct contact with cortex. This paper introduces a compact-sized implantable wireless 32-channel bidirectional brain machine interface (BBMI) to be used with freely-moving primates. The system is designed to monitor brain sensorimotor rhythms and present current stimuli with a configurable duration, frequency and amplitude in real time to the brain based on the brain activity report. The battery is charged via a novel ultrasonic wireless power delivery module developed for efficient delivery of power into a deeply-implanted system. The system was successfully tested through bench tests and in vivo tests on a behaving primate to record the local field potential (LFP) oscillation and stimulate the target area at the same time.

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WIMAGINE<sup>®</sup>: 64-channel ECoG recording implant for human applications

Cited by 8 publications

References 7 publications

Open Hardware: Towards a Fully-Wireless Sub-Cranial Neuro-Implant for Measuring Electrocorticography Signals

Open Hardware: Towards a Fully-Wireless Sub-Cranial Neuro-Implant for Measuring Electrocorticography Signals

KDI: A wireless power-efficient modular platform for pre-clinical evaluation of implantable neural recording designs

A Wireless 32-Channel Implantable Bidirectional Brain Machine Interface

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