Development of a Fully Implantable Recording System for ECoG Signals

Pistor, Jonas; Hoeffmann, Janpeter; Rotermund, David; Tolstosheeva, Elena; Schellenberg, Tim; Boll, Dmitriy; Gordillo-Gonzales, Victor; Mandon, Sunita; Peters-Drolshagen, Dagmar; Kreiter, Andreas K.; Schneider, Martin; Lang, Walter; Pawelzik, Klaus; Paul, Steffen

doi:10.7873/date.2013.188

Cited by 9 publications

(5 citation statements)

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“…ASIC/nano FPGA: The individual ADC data streams are collected by an ASIC [ 37 ]. The ASIC also significantly reduces the incoming data according to user-defined parameters in order to utilize the limited RF data bandwidth in an optimal way.…”

Section: Resultsmentioning

confidence: 99%

Implications for a Wireless, External Device System to Study Electrocorticography

Rotermund

Pistor

Hoeffmann

et al. 2017

Sensors

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Implantable neuronal interfaces to the brain are an important keystone for future medical applications. However, entering this field of research is difficult since such an implant requires components from many different areas of technology. Since the complete avoidance of wires is important due to the risk of infections and other long-term problems, means for wirelessly transmitting data and energy are a necessity which adds to the requirements. In recent literature, many high-tech components for such implants are presented with remarkable properties. However, these components are typically not freely available for such a system. Every group needs to re-develop their own solution. This raises the question if it is possible to create a reusable design for an implant and its external base-station, such that it allows other groups to use it as a starting point. In this article, we try to answer this question by presenting a design based exclusively on commercial off-the-shelf components and studying the properties of the resulting system. Following this idea, we present a fully wireless neuronal implant for simultaneously measuring electrocorticography signals at 128 locations from the surface of the brain. All design files are available as open source.

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Section: Resultsmentioning

confidence: 99%

Implications for a Wireless, External Device System to Study Electrocorticography

Rotermund

Pistor

Hoeffmann

et al. 2017

Sensors

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“…Concerning the individual components of such an implant [75,76,77] like e.g. bio-signal amplifiers [78,79,80], analog-to-digital converter [81,82,83], data processors [42,84], wireless data transfer sub-system [85,86,87,88,89,90,91,92,61], or energy harvesting [93,94] a large number of publications exist.…”

Section: Discussionmentioning

confidence: 99%

“…On the other end of the data processing chain, the RF transceiver is only capable of transmitting up to 0.515 MBit /s. The 8 ADC data streams are collected by an in-house designed digital ASIC [Pistor et al, 2013]. Besides serializing these parallel inputs, the ASIC has the capability to significantly reduce the incoming data according to user-defined parameters such as sample rate, resolution and the selection of electrodes which are included in the recording.…”

Section: Realization Of the Implant Prototypementioning

confidence: 99%

“…In 2010 we started to design an application specific integrated circuit (ASIC) [41] which was able to communicate with the undocumented analog-digital-converter on the Intan Tech bio-signal amplifier RHA 2116 for collecting electrophysiological data. Later we improved this ASIC design by upgrading it with support for the wireless module ( [42,43]) which we present here in detail. Those first prototypes were based on large and fully rigid FR-4 PCBs.…”

Section: Introductionmentioning

confidence: 99%

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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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“…Since the interpretation of neurological signals requires a high spatial and temporal resolution, MEA with up to 100 [5] and even 1000 [6] electrodes are used depending on the application. The temporal resolution is achieved with sampling rates of 15 kHz [7] or 30 kHz [8].…”

Section: Introduction and Related Workmentioning

confidence: 99%

Compression and reconstruction methodology for neural signals based on patch ordering inpainting for brain monitoring

Schmale

Lange

Knoop

et al. 2016

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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The aim of this study is to present the first compression and reconstruction methodology based on patch ordering inpainting algorithm for monitoring neural activity. This novel inpainting approach is especially important for the technical realization of implantable neural measurement systems (NMS) since they are subject to strict resource limitations as area and energy consumption. Intersection masks with center square as well as random-based masks are utilized for suitable neural data compression considering the patch ordering inpainting. The proposed inpainting methodology outperforms the structure-based inpainting algorithm and often applied Compressed Sensing strategy with regard to reconstruction quality of the real measured neural signals. These algorithms focus on complexity reduction according to hardware on implantable NMS. At high degrees of compression, the patch ordering inpainting yields well-suited or equal reconstruction results in contrast to JPEG or JPEG2000, respectively.

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Development of a Fully Implantable Recording System for ECoG Signals

Cited by 9 publications

References 0 publications

Implications for a Wireless, External Device System to Study Electrocorticography

Implications for a Wireless, External Device System to Study Electrocorticography

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

Compression and reconstruction methodology for neural signals based on patch ordering inpainting for brain monitoring

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