Kazi Mahmudul Hassan — accepted AI-conference papers

2024

Detection of Epileptic Seizures in Long Eeg Recordings Using an Anomaly Detector with Artifact Rejection

Kazi Mahmudul Hassan, Xuyang Zhao, Hidenori Sugano, Toshihisa Tanaka

ICASSP 2024accepted

Manual seizure detection from long recordings of the electroencephalogram (EEG) is a tiring, tedious, and error-prone process. It also requires experienced practitioners to detect seizure events precisely. This paper has proposed a novel method to detect epileptic seizures from long-EEG recordings u…

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2023

Active Selection of Source Patients in Transfer Learning for Epileptic Seizure Detection Using Riemannian Manifold

Toshiki Orihara, Kazi Mahmudul Hassan, Toshihisa Tanaka

ICASSP 2023accepted

Epileptic seizure detection from long recordings of scalp electroencephalography (EEG) is a challenging task owing to their unpredictability in nature with the inclusion of noise, artifacts and subject dependency. We hypothesize that selection of training EEG data plays important role in the model p…

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