EEG + High-density surface EMG recordings of right tibialis anterior muscle during isometric ankle dorsiflexion (HybridNeuro project)Zicher, Blanka (Avtor) McGeady, Ciaran (Avtor) Farina, Dario (Avtor) Murks, Nina (Avtor) Divjak, Matjaž (Avtor) surface high density electromyogram (HDEMG)electroencephalogram (EEG)datasettibialis anteriorisometric ankle dorsiflexionbeta-band oscillationsmotor controlHybridNeuroThis 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.s. n.20252025-12-28 13:44:28Drugo96397slLondon, UK2022