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Title:EEG + High-density surface EMG recordings of right tibialis anterior muscle during isometric ankle dorsiflexion (HybridNeuro project)
Authors:ID Zicher, Blanka (Author)
ID McGeady, Ciaran (Author)
ID Farina, Dario (Author)
ID Murks, Nina (Author)
ID Divjak, Matjaž (Author)
Files:.pdf README.pdf (332,32 KB)
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.txt README.txt (14,00 KB)
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Language:English
Work type:Other
Typology:2.20 - Research data
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract: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.
Keywords:surface high density electromyogram (HDEMG), electroencephalogram (EEG), dataset, tibialis anterior, isometric ankle dorsiflexion, beta-band oscillations, motor control, HybridNeuro
Geographic coverage:London, UK
Temporal coverage:2022
Place of publishing:[S. l.
Place of performance:[S. l.
Publisher:s. n.
Year of publishing:2025
Number of pages:1 spletni vir (več datotek)
PID:20.500.12556/DKUM-96397 New window
UDC:004.6
COBISS.SI-ID:263601667 New window
Data col. methods:Measurements and tests: Physical
Publication date in DKUM:06.01.2026
Views:327
Downloads:287
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Document is financed by a project

Funder:EC - European Commission
Funding programme:HE
Project number:101079392
Name:Hybrid neuroscience based on cerebral and muscular information for motor rehabilitation and neuromuscular disorders
Acronym:HybridNeuro

Funder:UKRI - UK Research and Innovation
Funding programme:Horizon Europe Guarantee
Project number:10052152
Name:Hybrid neuroscience based on cerebral and muscular information for motor rehabilitation and neuromuscular disorders (HybridNeuro)
Acronym:HybridNeuro

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:28.12.2025

Secondary language

Language:Slovenian
Keywords:elektromiografija, EMG, elektroencefalografija, EEG, možganska električna aktivnost, mišičje, živčevje, oscilacija, nihanje, desna sprednja golenska mišica, dorzifleksija, upogibanje navzgor, gleženj, beta aktivnost, raziskovalni podatki


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