Digital Filter on FPGA for Neuronal Spike Detection recorded by a CMOS-Based Microelectrode Array

CMOS-based microelectrode arrays (MEAs) enable the recording of electrical activities from biological cells, i.e., neurons or cardiac cells, at multiple sites with single-cell resolution. However, biological and electronic noise sources impair the detection of extracellular voltages. Reliable detect...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Proceedings of the ... Austrian Workshop on Microelectronics (Online) s. 1 - 4
Hlavní autori: Ell, Maximilian, Buyukakyuz, Ahmet, Zeck, Gunther
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 25.09.2024
Predmet:
adhesion noise spectroscopy
CMOS-based microelectrode array
Digital Signal Processing
ex vivo retina
Field Programmable Gate Array
Field programmable gate arrays
Logic gates
Microelectrodes
Noise
real-time systems
Recording
Retina
Sensor arrays
Sensors
Spatiotemporal phenomena
Streaming media
ISSN:2689-8144
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:CMOS-based microelectrode arrays (MEAs) enable the recording of electrical activities from biological cells, i.e., neurons or cardiac cells, at multiple sites with single-cell resolution. However, biological and electronic noise sources impair the detection of extracellular voltages. Reliable detection of so-called action potentials (small voltage deflections) would be significantly improved with real-time data processing. Therefore, we present here a Field Programmable Gate Array (FPGA) that filters the data stream and extracts the relevant electrophysiological information. In addition to single-cell activity, we analyze the CMOS MEA area covered by biological tissue using electrical imaging via adhesion voltage noise spectroscopy. Electrical imaging enables the recording of selected areas at unprecedented spatiotemporal resolution.
ISSN:2689-8144
DOI:10.1109/Austrochip62761.2024.10716224