Implementation of a galvanically isolated low-noise power supply board for multi-channel headstage preamplifiers

Tóth, Attila; Máthé, Kálmán; Petykó, Zoltán; Szabó, Imre; Czurkó, András

doi:10.1016/j.jneumeth.2008.01.029

Cited by 5 publications

(3 citation statements)

References 25 publications

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“…There are many reports demonstrating the use of stablohm wires for biomedical research. Stablohm wires have been implemented into tetrode technologies to act as low impedance wires and isolate signals of extracellular spikes [49][50][51][52][53]. Other research have also used stablohm wires as recording electrodes in their electrode arrays and implanted into different regions of an animal's brain for neural recordings [54][55][56][57][58][59][60].…”

Section: Discussionmentioning

confidence: 99%

Handcrafted Electrocorticography Electrodes for a Rodent Behavioral Model

et al. 2016

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Electrocorticography (ECoG) is a minimally invasive neural recording method that has been extensively used for neuroscience applications. It has proven to have the potential to ease the establishment of proper links for neural interfaces that can offer disabled patients an alternative solution for their lost sensory and motor functions through the use of brain-computer interface (BCI) technology. Although many neural recording methods exist, ECoG provides a combination of stability, high spatial and temporal resolution with chronic and mobile capabilities that could make BCI systems accessible for daily applications. However, many ECoG electrodes require MEMS fabricating techniques which are accompanied by various expenses that are obstacles for research projects. For this reason, this paper presents an animal study using a low cost and simple handcrafted ECoG electrode that is made of commercially accessible materials. The study is performed on a Lewis rat implanted with a handcrafted 32-channel non-penetrative ECoG electrode covering an area of 3 × 3 mm 2 on the cortical surface. The ECoG electrodes were placed on the motor and somatosensory cortex to record the signal patterns while the animal was active on a treadmill. Using a Tucker-Davis Technologies acquisition system and the software Synapse to monitor and analyze the electrophysiological signals, the electrodes obtained signals within the amplitude range of 200 µV for local field potentials with reliable spatiotemporal profiles. It was also confirmed that the handcrafted ECoG electrode has the stability and chronic features found in other commercial electrodes.

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Section: Discussionmentioning

confidence: 99%

Handcrafted Electrocorticography Electrodes for a Rodent Behavioral Model

et al. 2016

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“…Details of the acquisition system such as the cross-point switch arrays [20], low-noise power supply [17] and the test generator of the mobile unit of the system [21] are to be found in the cited literature. When working with the brain signals and other biomedical measurements with multichannel instruments, a special care must be invested in the galvanic isolation and low noise power supply [22]. -The stationary unit of the device (Fig.…”

Section: The Implementational Principle Of the Protocol Convertermentioning

confidence: 99%

Measurement system with real time data converter for conversion of I2S data stream to UDP protocol data

Vizvári

Tóth

Sari

et al. 2020

Heliyon

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A central goal of systems neuroscience is to simultaneously measure the activities of all achievable neurons in the brain at millisecond resolution in freely moving animals. This paper describes a protocol converter which is part of a measurement acquisition system for multichannel real time recording of brain signals. In practice, in such techniques, a primary consideration of reliability leads to great necessity towards increasing the sampling rate of these signals while simultaneously increasing the resolution of A/D conversion to 24 bits or even to the unprecedented 32 bits per sample. In fact, this was the guiding principle for our team in the present study. By increasing the temporal and amplitude resolution, it is supposed that we get enabled to discover or recognize and identify new signal components which have previously been masked at a "low" temporal and amplitude resolution, and these new signal components, in the future, are likely to contribute to a deeper understanding of the workings of the brain.

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“…The input voltage of the monitoring module range is 18vdc to 36vdc. Through an EMI Power Filter and a stabilizer circuit [5,6], input voltage is transmitted to 15vdc, which supplies power for analog circuit of the module. The digital circuit of the module needs 3.3v, 1.8v and 5v voltage.…”

Section: Design Of Monitoring Modulementioning

confidence: 99%