Evidence map›Paper›PMID 42817491›Full record

ArticleSensors (Basel, Switzerland)2026

Altered Neuromuscular Time-Frequency Organization During Sit-to-Walk in Parkinson's Disease: An Explainable Artificial Intelligence Approach Using Surface Electromyography.

Hwayoung Park, Changhong Youm, Sang-Myung Cheon, Bohyun Kim, Juseon Hwang, Minsoo Kim

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Hwayoung ParkBiomechanics Laboratory, Dong-A University, Saha-gu, Busan 49315, Republic of Korea.ORCID 0000-0002-4625-9021
Changhong YoumBiomechanics Laboratory, Dong-A University, Saha-gu, Busan 49315, Republic of Korea.ORCID 0000-0001-7574-5259
Sang-Myung CheonDepartment of Neurology, School of Medicine, Dong-A University, Seo-gu, Busan 49315, Republic of Korea.ORCID 0000-0001-5905-2188
Bohyun KimBiomechanics Laboratory, Dong-A University, Saha-gu, Busan 49315, Republic of Korea.ORCID 0000-0003-0012-5615
Juseon HwangBiomechanics Laboratory, Dong-A University, Saha-gu, Busan 49315, Republic of Korea.
Minsoo KimBiomechanics Laboratory, Dong-A University, Saha-gu, Busan 49315, Republic of Korea.ORCID 0009-0002-9033-9843

Funding

National Research Foundation of Korea 2022R1A2C100933711National Research Foundation of Korea 2022R1A6A3A0108756411National Research Foundation of Korea 2024S1A5B5A16021673National Research Foundation of Korea 2025S1A5B5A16007988
6 · The paper itself

Abstract

Neuromuscular dysfunction during the sit-to-walk (STW) task in Parkinson's disease (PD) remains poorly understood. We aimed to analyze surface electromyography (sEMG) signals across STW phases using explainable machine learning (ML) and deep learning approaches in PD. Individuals with PD (

Indexed as

Artificial IntelligenceElectromyographyParkinson DiseaseAgedConvolutional Neural NetworksFemaleHumansMachine LearningMaleMiddle AgedMuscle, Skeletalconvolutional neural networksexplainable artificial intelligencemachine learningParkinson’s diseasesit-to-walksurface electromyography

Identifiers

PMID42817491
PMCPMC13611564

What OpenQuestion holds

Textmetadata
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.