Uncovering attempted movements of the paralyzed upper limb after stroke through EEG and EMG

Abstract Detecting attempted movements of a paralyzed limb is a key step for neural interfaces for motor rehabilitation and restoration after a stroke. In this paper, we present a systematic evaluation of electroencephalographic (EEG) and electromyographic (EMG) activity to decode when stroke patien...

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Hauptverfasser: Eduardo López-Larraz, Andrea Sarasola-Sanz, Niels Birbaumer, Ander Ramos-Murguialday
Format: Artigo
Sprache:Inglês
Veröffentlicht: BMC 2025-10-01
Schriftenreihe:Journal of NeuroEngineering and Rehabilitation
Schlagworte:
Brain-machine interface (BMI)
Hybrid brain-machine interface (hBMI)
Stroke
Electroencephalography (EEG)
Electromyography (EMG)
Movement decoding
Online Zugang:https://doi.org/10.1186/s12984-025-01687-9
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