Decoding preparatory movement state-based motor imagery with multi layer energy decoder

Integration of preparatory movement states into the movement imagery process can generate distinguishable features at different stages and improve the classification performance of BCI systems. The proposed PMS-MI paradigm, combined with the MLED decoding method, provides a promising direction for developing more accurate and robust BCIs, particularly in the context of neurorehabilitation.

Authors

Institutions

Publication Details

Journal
Journal of NeuroEngineering and Rehabilitation
Published
2025-12-17
DOI
https://doi.org/10.1186/s12984-025-01837-z
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Decoding preparatory movement state-based motor imagery with multi layer energy decoder

Yuxin Zhang, Alan X. Wang, Miaomiao Guo, Mengfan Li et al.
Journal of NeuroEngineering and Rehabilitation
EEG and Brain-Computer Interfaces
article

Decoding preparatory movement state-based motor imagery with multi layer energy decoder

Yuxin Zhang, Alan X. Wang, Miaomiao Guo, Mengfan Li, Guizhi Xu
article en

Abstract

Integration of preparatory movement states into the movement imagery process can generate distinguishable features at different stages and improve the classification performance of BCI systems. The proposed PMS-MI paradigm, combined with the MLED decoding method, provides a promising direction for developing more accurate and robust BCIs, particularly in the context of neurorehabilitation.

Journal of NeuroEngineering and RehabilitationVol. 23(1)
Auckland Institute of Studies (NZ), University of Auckland (NZ), Hebei University of Technology (CN), Auckland University of Technology (NZ), Brain Research New Zealand (NZ)
Openalex Percentile: Top 59%
EEG and Brain-Computer Interfaces
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Decoding preparatory movement state-based motor imagery with multi layer energy decoder — Yuxin Zhang, Alan X. Wang, et al. · Journal of NeuroEngineering and Rehabilitation (2025) | TGRS Research Map | TGRS