4 papers · 1 filter
Decoding Imagined Speech: A Strictly Subject-Independent Approach Using EEG
Frederik Møllskov Trier, Xiaopeng Mao, Sadasivan Puthusserypady
Imagined speech decoding from electroencephalography (EEG) has gained increasing attention as a potential communication pathway for individuals with severe motor impairments, yet r…
Wearable ECG Quality Assessment: A Deep Learning and Ambulatory Context-Awareness Approach
Xiaopeng Mao, Marike Weisbjerg, Sadasivan Puthusserypady
This paper presents and evaluates a Deep Learning-based (DL-based) Signal Quality Assessment (SQA) model to distinguish between clean and noisy ambulatory Electrocardiograms (ECG).…
FOUND-AF: Benchmarking ECG Foundation Models for Atrial Fibrillation Detection
Amirhossein Taleshinosrati, Yangyang Wang, Atitaya Phoemsuk +5
Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia and is associated with increased risks of stroke, heart failure, and mortality. Recent ECG foundation model…
RAG-based EEG-to-Text Translation Using Deep Learning and LLMs
Enrico Collautti, Xiaopeng Mao, Luca Tonin +2
The decoding of linguistic information from electroencephalography (EEG) signals remains an extremely challenging problem in brain-computer interface (BCI) research. In particular,…