Evidence map›Paper›PMID 39712134›Full record

ArticleCognitive neurodynamics2024

Decoding of movement-related cortical potentials at different speeds.

Jing Zhang, Cheng Shen, Weihai Chen, Xinzhi Ma, Zilin Liang, Yue Zhang

Abstract read
In one paragraph

Article in Cognitive neurodynamics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
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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.

Jing ZhangSchool of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191 China.ORCID 0000-0001-7779-760X
Cheng ShenSchool of Artificial Intelligence, Shenyang Aerospace University, Shenyang, 110136 Liaoning Province China.
Weihai ChenSchool of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191 China.
Xinzhi MaSchool of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191 China.
Zilin LiangSchool of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191 China.
Yue ZhangHangzhou Innovation Institute, Beihang University, Hangzhou, 310052 Zhejiang China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The decoding of electroencephalogram (EEG) signals, especially motion-related cortical potentials (MRCP), is vital for the early detection of motor intent before movement execution. To enhance the decoding accuracy of MRCP and promote the application of early motion intention in active rehabilitation training, we propose a method for decoding MRCP signals. Specifically, an experimental paradigm is designed for the efficient capture of MRCP signals. Moreover, a feature extraction method based on differentiation is proposed to effectively characterize action variability. Six subjects were recruited to validate the effectiveness of the decoding method. Experiments such as fixed-window classification, sliding-window detection, and asynchronous analysis demonstrate that the method can detect motion intention 316 milliseconds before action execution and is capable of continuously detecting both rapid and slow movements.

Indexed as

Asynchronous detectionBrain-computer interfaceElectroencephalographyIntention detectionMRCP

Identifiers

PMID39712134
PMCPMC11655897

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.