Author

S. Puthusserypady

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#artificial intelligence Preprint Sep 2026

Decoding Imagined Speech: A Strictly Subject-Independent Approach Using EEG

This study presents a transparent baseline investigation of a multi-class imagined speech EEG dataset under a strictly subject-independent evaluation framework, providing a strong basis for future brain-computer interface studies targeting improved cross-subject generalization in EEG-based imagined speech decoding.

Frederik Møllskov Trier, Xiao-Peng Mao, S. Puthusserypady · 0 citations

#artificial intelligence Preprint Sep 2026

Wearable ECG Quality Assessment: A Deep Learning and Ambulatory Context-Awareness Approach

A Deep Learning-based (DL-based) Signal Quality Assessment (SQA) model to distinguish between clean and noisy ambulatory Electrocardiograms (ECG) and how complicated ECG noise can be investigated by the SQA model and the physical contextual data is demonstrated.

Xiao-Peng Mao, M. Weisbjerg, S. Puthusserypady · 0 citations