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Title:High-density surface EMG + EEG recordings of isometric ankle dorsiflexion, imaginary movement and GO/NO-GO tasks (HybridNeuro project)
Authors:ID Murks, Nina (Author)
ID Kramberger, Matej (Author)
ID Kutoš, Leon (Author)
ID Holobar, Aleš (Author)
ID Divjak, Matjaž (Author)
ID McGeady, Ciaran (Author)
ID Farina, Dario (Author)
Files:.pdf README.pdf (455,72 KB)
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.txt README.txt (19,91 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 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.
Keywords: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
Geographic coverage:Maribor, Slovenia
Temporal coverage:May – June 2024
Place of publishing:[S. l.
Place of performance:[S. l.
Publisher:s. n.
Year of publishing:2026
Number of pages:1 spletni vir (več datotek)
PID:20.500.12556/DKUM-96398 New window
UDC:004.6
COBISS.SI-ID:263631107 New window
Data col. methods:Measurements and tests: Physical
Publication date in DKUM:06.01.2026
Views:379
Downloads:450
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, HDEMG, elektroencefalografija, EEG, sprednja golenska mišica, dorzifleksija, upogibanje navzgor, gleženj, raziskovalni podatki


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