20.500.12556/DKUM-96397 EEG + High-density surface EMG recordings of right tibialis anterior muscle during isometric ankle dorsiflexion (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 7 healthy volunteers. The main purpose of data collection was to investigate the role of beta-band oscillations in motor control by examining how cortical beta activity propagates to the motor unit pool and can be measured at the peripheral level using high-density EMG. Surface EMG was recorded using 64-channel electrode grids arranged in a 13 × 5 configuration with one missing corner electrode and an interelectrode distance of 4 mm (OT Bioelettronica, Torino, Italy). Signals were amplified (150 V/V), sampled at 2048 Hz using a Quattrocento system (OT Bioelettronica, Torino, Italy), and band-pass filtered between 20 and 500 Hz. Different grid placements were employed to maximize the number of motor units decomposed from the EMG signals. EEG signals were recorded with 31 active gel-based electrodes positioned according to the International 10–20 system, with FCz as the reference electrode (actiCAP, Brain Products GmbH, Gilching, Germany). Signals were amplified and sampled at 1 kHz using a BrainVision actiCHamp Plus system (Brain Products GmbH, Gilching, Germany). EEG, EMG, and the exerted force signals were temporally synchronized using a common digital trigger sent to both recording systems. Participants performed 2 repetitions of 4 sets of trapezoidal submaximal isometric contractions using the right tibialis anterior muscle, at 4 different contraction levels. Total task length was 640 s (not including rests). Each task's data is stored in a separate file in Matlab format (.MAT). Total dataset size is 8.5 GB. surface high density electromyogram (HDEMG) electroencephalogram (EEG) dataset tibialis anterior isometric ankle dorsiflexion beta-band oscillations motor control HybridNeuro elektromiografija EMG elektroencefalografija EEG možganska električna aktivnost mišičje živčevje oscilacija nihanje desna sprednja golenska mišica dorzifleksija upogibanje navzgor gleženj beta aktivnost raziskovalni podatki true false false s. n. Angleški jezik Slovenski jezik London, UK 2022 Drugo 2025-12-28 13:44:28 2026-01-06 14:27:55 2026-01-07 03:09:13 0000-00-00 00:00:00 2025 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 263601667 README.pdf README.pdf 1 C3222732424D01CD51C4D9770114D12D f4c6c69dbdaad6125684f0b7ed53d223e7aec41488eec12e00780cb12d5357aa 14646248-e3ed-11f0-8a92-00155d580e02 https://dk.um.si/Dokument.php?lang=slv&id=201711 README.txt README.txt 1 4A554CCE86329021BAD780243121E7CA 1a37cd0d5bbbb1e921a3824135e70c86d23581c0375befee5ca8f3a9af78a29c 17fc481b-e3ed-11f0-8a92-00155d580e02 https://dk.um.si/Dokument.php?lang=slv&id=201712 metadata.xml metadata.xml 1 365282BBC8CC685DAD2438C696D3679E 0cb0c6a333f557bfba2c5c4b653fd423c23a55839281e127a64447174df6b252 1b7a44b4-e3ed-11f0-8a92-00155d580e02 https://dk.um.si/Dokument.php?lang=slv&id=201713 figure1_protocol_steps.png figure1_protocol_steps.png 1 8ACA36A3761D143C97EABCE21101E1D0 bfb0cc15a1bcdc148c892df9c0b2921f4b01d6843536a553de3a9fb801654f6f 1defafee-e3ed-11f0-8a92-00155d580e02 https://dk.um.si/Dokument.php?lang=slv&id=201714 figure2_mat_file_content.png figure2_mat_file_content.png 1 2B57A5F20F9E77AFABDBE53971C8C6C1 7bd7012827b6a3c8945337a1e6ed7c5e6b27e6a443ad60fc32da2be87c9001cb 204619a2-e3ed-11f0-8a92-00155d580e02 https://dk.um.si/Dokument.php?lang=slv&id=201715 Fakulteta za elektrotehniko, računalništvo in informatiko Meritve in testi: Fizično 0 0 0