20.500.12556/DKUM-96398 High-density surface EMG + EEG recordings of isometric ankle dorsiflexion, imaginary movement and GO/NO-GO tasks (HybridNeuro project) 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. surface high density electromyogram (HDEMG) electroencephalogram (EEG) dataset tibialis anterior isometric ankle dorsiflexion GO/NO-GO task imaginary movement corticomuscular coherence motor unit filter HybridNeuro elektromiografija HDEMG elektroencefalografija EEG sprednja golenska mišica dorzifleksija upogibanje navzgor gleženj raziskovalni podatki true false false s. n. Angleški jezik Slovenski jezik Maribor, Slovenia May – June 2024 Drugo 2025-12-28 15:08:42 2026-01-06 15:02:01 2026-01-07 03:09:17 0000-00-00 00:00:00 2026 0 [S. l. 0 [S. l. 1 spletni vir (več datotek) 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.6 263631107 README.pdf README.pdf 1 821B207CDCD3802F0F6ED39F4F588379 48e047ba227532ee4c2b8a7d8415a323946c893ea3f9046b7a67b88212a46c16 ae65ea9a-e3f8-11f0-8a92-00155d580e02 https://dk.um.si/Dokument.php?lang=slv&id=201723 README.txt README.txt 1 D2A1650CB49E8BEB4CA68F2F706FC28C 94e4d3d5a8b0a6f437df34d11b2e2f98ad3c6b4e1fa562434b597ee8dff248bc b11297a2-e3f8-11f0-8a92-00155d580e02 https://dk.um.si/Dokument.php?lang=slv&id=201724 metadata.xml metadata.xml 1 8B571AF385D69D199C60364611E1ABDD 1441984f8e923a4c56b9aec719ca6f78f96141e4c1fdf82a6c0edb55a99e149d b47b2f0f-e3f8-11f0-8a92-00155d580e02 https://dk.um.si/Dokument.php?lang=slv&id=201725 participant_info.csv participant_info.csv 1 D2D9FC7292A412F32A9E39079AA46E0C 2533a5cee19c8cef72d1b197f2aaa9f2e265833bca58f84786f691e3e60fed6d bbae4064-e3f8-11f0-8a92-00155d580e02 https://dk.um.si/Dokument.php?lang=slv&id=201726 figure1_protocol_steps.png figure1_protocol_steps.png 1 63BAA05E73B8A7B345CC0F68D1FB6ECF cc588ef8d88e4738f8b69345bf84ccda15af5518e1ed7ac40746e517aa5dd9da bd412864-e3f8-11f0-8a92-00155d580e02 https://dk.um.si/Dokument.php?lang=slv&id=201727 Fakulteta za elektrotehniko, računalništvo in informatiko Meritve in testi: Fizično 0 0 0