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A Novel Machine Learning Model for Non-Invasive EEG-Based Inner-Speech Translation in ALS

2026-01-02

Abstract excerpt

<p>Amyotrophic lateral sclerosis (ALS) progressively paralyzes speech and motor functions, rendering patients speechless when voluntary movement is lost. Although invasive brain–computer interfaces (BCIs) such as electrocorticography (ECoG) have achieved high accuracy in speech-related neural activity decoding, clinical use is limited by surgery costs and risks. This study presents a new, fully non-invasive EEG-ba...

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Literature Corpus work
69eaf41f-abfc-5e52-addd-a70477f0909b
DOI
10.31234/osf.io/g34v7_v2
Open publication

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A Novel Machine Learning Model for Non-Invasive EEG-Based Inner-Speech Translation in ALSDOI 10.31234/osf.io/g34v7_v2
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