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<metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>High-density surface EMG + EEG recordings of isometric ankle dorsiflexion, imaginary movement and GO/NO-GO tasks (HybridNeuro project)</dc:title><dc:creator>Murks,	Nina	(Avtor)
	</dc:creator><dc:creator>Kramberger,	Matej	(Avtor)
	</dc:creator><dc:creator>Kutoš,	Leon	(Avtor)
	</dc:creator><dc:creator>Holobar,	Aleš	(Avtor)
	</dc:creator><dc:creator>Divjak,	Matjaž	(Avtor)
	</dc:creator><dc:creator>McGeady,	Ciaran	(Avtor)
	</dc:creator><dc:creator>Farina,	Dario	(Avtor)
	</dc:creator><dc:subject>surface high density electromyogram (HDEMG)</dc:subject><dc:subject>electroencephalogram (EEG)</dc:subject><dc:subject>dataset</dc:subject><dc:subject>tibialis anterior</dc:subject><dc:subject>isometric ankle dorsiflexion</dc:subject><dc:subject>GO/NO-GO task</dc:subject><dc:subject>imaginary movement</dc:subject><dc:subject>corticomuscular coherence</dc:subject><dc:subject>motor unit filter</dc:subject><dc:subject>HybridNeuro</dc:subject><dc:description>This dataset was prepared in the context of the HybridNeuro project (https://www.hybridneuro.feri.um.si/). It contains a collection of simultaneous EMG and EEG recordings from 20 healthy volunteers. The main purpose of data collection was to assess the sensitivity of corticomuscular coherence detection estimated by the proposed motor unit-based EEG filters and compare it to the classical EEG processing techniques. 
Surface EMG was recorded from the tibialis anterior muscle during isometric ankle dorsiflexions using 13 x 5 electrode array with 8mm interelectrode distance (model GR08MM1305 from OT Bioelettronica, Torino, Italy).
EEG was recorded with a 64 channel EEG cap (model EEG-Cap64 from OT Bioelettronica, Torino, Italy).
Both EMG and EEG were recorded simultaneously using the same amplifier (model Quattrocento from OT Bioelettronica, Torino, Italy) at 16 bit resolution and 2048 Hz sampling frequency.
For each participant, 25 tasks were recorded with total length of approximately 37 minutes. Each task's data is stored in a separate file in Matlab format (.MAT). Total dataset size is 26.9 GB.</dc:description><dc:publisher>s. n.</dc:publisher><dc:date>2026</dc:date><dc:date>2025-12-28 15:08:42</dc:date><dc:type>Drugo</dc:type><dc:identifier>96398</dc:identifier><dc:identifier>UDK: 004.6</dc:identifier><dc:identifier>COBISS_ID: 263631107</dc:identifier><dc:language>sl</dc:language><dc:coverage>Maribor, Slovenia</dc:coverage><dc:coverage>May – June  2024</dc:coverage></metadata>
