Modeling of an analog recording system design for ECoG and AP signals

Heidmann, Nils; Hellwege, Nico; Hohlein, Tim; Westphal, Thomas; Peters-Drolshagen, Dagmar; Paul, Steffen

doi:10.7873/date2014.026

Cited by 5 publications

(2 citation statements)

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“…This in‐depth resolution may also be an alternative for current deep brain stimulation (DBS)‐ECoG approaches. In addition, as the problem of multiple wires fed out from the skull is diminished, the grain demux approach resembles an alternative to currently developed wireless transmission systems …”

Section: Discussionmentioning

confidence: 99%

Flexible High Density Active Neural Implants Combining a Distributed Multiplexing Transceiver Architecture with Biocompatible Technology

Marcoleta

Nogueira

Froriep

et al. 2018

Physica Status Solidi (a)

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Precise localization of brain tissue causing severe neurological conditions requires subdural recording arrays with high electrode density and low mechanical stiffness compliant with the brain tissue. However, most arrays currently used À such as clinical ECoG grids À are rather stiff and limited in spatial resolution. To overcome these constrains a novel architecture is proposed using delocalized electronic (de)multiplexer grains. Here, their functional units are described in both hard-and software, and tested in simulations and experimentally. The results show that in case of a 100 Â 100 mm ECoG array with lower mechanical stiffness, inter-electrode distances <1 mm can be achieved. Taking parasitic capacitances into account, a signal resolution of 100 μV is reached with an inter-channel timing resolution of 200 ns, which in our model corresponds to tissue localization as precise as 1.2 mm. For clinical application of envisaged 5000 electrodes, a preselection mechanism and routes for adoption of this technology toward cochlear implants and brain computer interfaces are presented. J. P. MarcoletaHearing 4 All Cluster of Excellence Biomaterial Engineering Hannover Medical School

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Section: Discussionmentioning

confidence: 99%

Flexible High Density Active Neural Implants Combining a Distributed Multiplexing Transceiver Architecture with Biocompatible Technology

Marcoleta

Nogueira

Froriep

et al. 2018

Physica Status Solidi (a)

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“…To overcome this disadvantage the use of analog behavioral models is an up-coming approach [6] [7], however the inclusion of degradation behavior and process variations are mandatory to enable an estimation of age-dependent yield and reliability on system level. The combination of yield estimation for several components on system level is a key to determine reliability of safety-relevant applications.…”

Section: Introductionmentioning

confidence: 99%

NBTI and HCD aware behavioral models for reliability analysis of analog CMOS circuits

Heidmann

Hellwege

Paul

et al. 2015

2015 IEEE International Reliability Physics Symposium

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For safety-critical applications with long operational lifetimes the analysis of aging aspects caused by NBTI and HCD is moving into the focus of the designer. The increasing complexity of modern analog and mixed-signal circuits makes a reliability analysis on transistor level for complex systems quite challenging. In this paper we present a method using BoxBehnken Designs and Response Surface Modeling with exponential function interpolation. This approach enables accelerated reliability analysis on system level. A tool is introduced to support the behavioral model generation process. The derived model includes information on degradation and process variations. The method is demonstrated for a current-mirror and a CS amplifier to quantify the degradation influence. The accuracy of the behavioral models and the age-dependent yield of the circuits is determined.

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A Modular Analog Front-end for the Recording of Neural Spikes and Local Field Potentials within a Neural Measurement System

Heidmann

Hellwege

Pistor

et al. 2014

Procedia Engineering

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Modeling of an analog recording system design for ECoG and AP signals

Cited by 5 publications

References 0 publications

Flexible High Density Active Neural Implants Combining a Distributed Multiplexing Transceiver Architecture with Biocompatible Technology

Flexible High Density Active Neural Implants Combining a Distributed Multiplexing Transceiver Architecture with Biocompatible Technology

NBTI and HCD aware behavioral models for reliability analysis of analog CMOS circuits

A Modular Analog Front-end for the Recording of Neural Spikes and Local Field Potentials within a Neural Measurement System

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