An EEG-EMG-kinematics dataset from wrist pointing tasks for biomarker research in neurorehabilitation.
Overview
- Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Monterrey, 64700 Nuevo León, Mexico
- Instituto Politécnico Nacional, Ciudad de México, 07340 Ciudad de México, Mexico
Abstract
The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.
Code
The paper links to its data, not to its authors' code: see the Data section.
Code availability statement
The paper has a code availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:
- no repository, dataset or request procedure was recognized in it
Read it in the paper: doi.org/10.1038/s41597-026-07287-z.
Tracing map
A tracing map links a paper to the code its authors published: this paper has none, so it has no map.
Data
Datasets cited
- figshare:29666735, at figshare; found in “Data availability”
Code and data availability statement
The paper has a code and data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:
- it points to a dataset: figshare 29666735
Read it in the paper: doi.org/10.1038/s41597-026-07287-z.
Versions
The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.
Version 1, 29 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 9 authors, 9 MeSH terms, 2 funders, 48 references.
Cite
This paper
Perez-Blanco, J. G., Huegel, J. C., Hernández-Rojas, L. G., Valdez-Calderón, A., Lizárraga-Torreblanca, H., Cruz-Ortiz, D., Ballesteros, M., Gomez-Correa, M., & Antelis, J. M. (2026). An EEG-EMG-kinematics dataset from wrist pointing tasks for biomarker research in neurorehabilitation. Scientific data, 13(1), 931. https://
BibTeX
@article{perezblanco2026
author = {Perez-Blanco, Jorge G and Huegel, Joel C and Hernández-Rojas, Luis G and Valdez-Calderón, Amanda and Lizárraga-Torreblanca, Héctor and Cruz-Ortiz, David and Ballesteros, Mariana and Gomez-Correa, Manuela and Antelis, Javier M},
title = {{An EEG-EMG-kinematics dataset from wrist pointing tasks for biomarker research in neurorehabilitation}},
journal = {Scientific data},
year = {2026},
month = apr,
volume = {13},
number = {1},
pages = {931},
publisher = {Nature Publishing Group},
issn = {2052-4463},
doi = {10.1038/
url = {https://
pmid = {42020458},
pmcid = {PMC13287717}
}
RIS
TY - JOUR
AU - Perez-Blanco, Jorge G
AU - Huegel, Joel C
AU - Hernández-Rojas, Luis G
AU - Valdez-Calderón, Amanda
AU - Lizárraga-Torreblanca, Héctor
AU - Cruz-Ortiz, David
AU - Ballesteros, Mariana
AU - Gomez-Correa, Manuela
AU - Antelis, Javier M
TI - An EEG-EMG-kinematics dataset from wrist pointing tasks for biomarker research in neurorehabilitation
T2 - Scientific data
J2 - Sci Data
PY - 2026
DA - 2026/
VL - 13
IS - 1
SP - 931
SN - 2052-4463
PB - Nature Publishing Group
DO - 10.1038/
UR - https://
LA - en
ER -
CSL-JSON
{
"id": "10.1038/
"type": "article-journal",
"title": "An EEG-EMG-kinematics dataset from wrist pointing tasks for biomarker research in neurorehabilitation",
"container-title": "Scientific data",
"author": [
{
"family": "Perez-Blanco",
"given": "Jorge G"
},
{
"family": "Huegel",
"given": "Joel C"
},
{
"family": "Hernández-Rojas",
"given": "Luis G"
},
{
"family": "Valdez-Calderón",
"given": "Amanda"
},
{
"family": "Lizárraga-Torreblanca",
"given": "Héctor"
},
{
"family": "Cruz-Ortiz",
"given": "David"
},
{
"family": "Ballesteros",
"given": "Mariana"
},
{
"family": "Gomez-Correa",
"given": "Manuela"
},
{
"family": "Antelis",
"given": "Javier M"
}
],
"container-title-short":
"volume": "13",
"issue": "1",
"page": "931",
"DOI": "10.1038/
"PMID": "42020458",
"PMCID": "PMC13287717",
"ISSN": "2052-4463",
"publisher": "Nature Publishing Group",
"URL": "https://
"language": "en",
"issued": {
"date-parts": [
[
2026,
4,
22
]
]
}
}
Similar papers
The papers with a page that share the most with this one: the tools found in their code, their categories, datasets, cited references and authors, the rarest counting most.
- [1] doi:10.1038/s41597-026-07807-x [code]
- A Multimodal fNIRS-EEG Dataset for Unilateral Limb Motor Imagery.Journal: Scientific dataIn common: methods / tools, EEG, 2 references
- [2] doi:10.1038/s41597-026-07242-y [code]
- High-Density EEG and Multi-Muscle EMG Dataset during Object Prehension with a sensorized Grasping Box in Humans.Journal: Scientific dataIn common: other, methods / tools, EEG, 1 reference
- [3] doi:10.1038/s41467-026-75435-5 [code]
- Sensory-guided human-machine joint learning accelerates the acquisition of motor imagery brain computer interface control.Journal: Nature communicationsIn common: EEG, 2 references
- [4] doi:10.1162/imag.a.1040 [code]
- Novel 4 He-OPMs support waveform-specific beta burst analysis comparable to SQUID-MEGJournal: n/aIn common: 3 references
- [5] doi:10.1093/braincomms/fcag043 [code]
- Linking movement-related beta oscillations to cortical excitability, structural damage, and fatigue in multiple sclerosis.Journal: Brain communicationsIn common: EEG, 2 references
- [6] doi:10.3389/fnhum.2026.1811759
- MCFANet: a multi-class fusion attention network for motor imagery EEG classification.Journal: Frontiers in human neuroscienceIn common: EEG, 2 references
- [7] doi:10.1038/s41598-026-59979-6
- From muscles to motion: the role of sensor layout and physiological factors in hand motion decoding.Journal: Scientific reportsIn common: other, methods / tools, 1 reference
- [8] doi:10.1038/s41597-026-07809-9 [code]
- EEG-based brain-computer interface (BCI) dataset for directional word recognition.Journal: Scientific dataIn common: other, methods / tools, EEG, 1 reference
- [9] doi:10.1038/s41598-026-50997-y [code]
- Comprehensive benchmarking and explainable machine learning analysis of EEG imagery activity recognition.Journal: Scientific reportsIn common: methods / tools, EEG, 1 reference
- [10] doi:10.3390/bioengineering13070820 [code]
- Benchmarking Multimodal Workload Classification: Effects of Modality, Validation Protocol, and Segmentation Contrast on an Open Graded-Arithmetic Dataset.Journal: Bioengineering (Basel, Switzerland)In common: other, methods / tools, EEG, 1 reference
Contribute
The authors of this paper can claim it, correct its record and validate its tracing map, and the maintainers of its code (its owner, or a public member of its organization) correct what it says of their repository; anyone signed in can ask for its removal. Every request goes to OSCR's own machine, which answers it; your account page follows them.
Sign in with ORCID to claim this paper as one of its authors, correct its record or validate its tracing map: when the paper's metadata lists your ORCID iD, you are recognized at once. Maintainers of its code: sign in with GitHub, then claim the repository on your account page.
Claim this paper
Correct its record
Say what each link of this record is, remove the ones that are not the paper's, add the ones that are missing. The correction becomes a new version of the record, in its Versions section.
Request its removal
To ask OSCR to remove this record, the copies of its authors' scripts or its tracing map, use the removal request page: signed in, you say who you are, what to remove and why, then review and confirm the request. Published rules decide every request (how).
Discussion, reproductions, activity
Discussion: questions and error reports about this paper and its code, from signed-in readers and its authors. It opens with sign-in.
Reproductions: reports from readers who ran the authors' code: what they reproduced, with which environment, commit and data. It opens with sign-in.
Activity: what happens around this paper: new versions of its record, its map's validation, discussions and reproductions. It opens with sign-in.
