Evidence map›Paper›PMID 41513680›Full record

ArticleScientific data2026

PhysioMio: bilateral and longitudinal HD-sEMG dataset of 16 hand gestures from 48 stroke patients.

Julian Ilg, Alexander C R Oldemeier, Marie Fieweger, Luca Deuschel, Peter Rieckmann, Peter Young, Sabine Krause, Tim C Lueth

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Julian IlgInstitute of Micro Technology and Medical Device Technology (MIMED), Technical University Munich (TUM), Munich, Germany. Julian.Ilg@tum.de.ORCID http://orcid.org/0000-0002-4924-1791
Alexander C R OldemeierInstitute of Micro Technology and Medical Device Technology (MIMED), Technical University Munich (TUM), Munich, Germany.
Marie FiewegerInstitute of Micro Technology and Medical Device Technology (MIMED), Technical University Munich (TUM), Munich, Germany.
Luca DeuschelInstitute of Micro Technology and Medical Device Technology (MIMED), Technical University Munich (TUM), Munich, Germany.
Peter RieckmannMedical Park Loipl, Bischofswiesen, Germany.
Peter YoungMedical Park Bad Feilnbach Reithofpark, Bad Feilnbach, Germany.
Sabine KrauseMedical Park Bad Feilnbach Reithofpark, Bad Feilnbach, Germany.
Tim C LuethInstitute of Micro Technology and Medical Device Technology (MIMED), Technical University Munich (TUM), Munich, Germany.

Funding

Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) 16SV9068Bundesministerium für Wirtschaft und Energie (Federal Ministry for Economic Affairs and Energy) 03EFBY0337
6 · The paper itself

Abstract

The PhysioMio dataset presented in this paper provides longitudinal high-density surface electromyography (HD-sEMG) recordings from both the healthy and impaired forearms of 48 stroke patients with arm paresis, captured during the performance of 16 distinct hand gestures. Patients were recorded at regular intervals during their individual inpatient rehabilitation stay, resulting in an average of three recording sessions at different stages of post-stroke rehabilitation per patient. The HD-sEMG signals were collected using a dry 64-electrode array positioned around the forearm, enabling observation of muscle activation patterns. The healthy arm was recorded during the first week to serve as a reference, while subsequent recordings focused solely on the impaired arm. This data can offer insights into neuromuscular deficits related to stroke and allow for comparative analysis between healthy and impaired arms. This dataset serves as a valuable resource for studying motor impairment and recovery potential in stroke-induced arm paresis, supporting advancements in personalized rehabilitation and assistive technologies.

Indexed as

ElectromyographyGesturesHandStrokeAgedFemaleHumansMaleMiddle AgedParesisStroke Rehabilitation

Identifiers

PMID41513680
PMCPMC12796482

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.