Author

Byeong-il Lee

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Open access Jul 2026

Multi-Task Wearable Parkinson’s Disease Detection with a Pretrained Spatio-Temporal Graph Encoder and Task-Level Token Aggregation

Wearable inertial measurement units (IMUs) offer an objective, low-cost basis for Parkinson’s disease (PD) assessment, but multi-task clinical protocols yield heterogeneous recordings across body locations and small cohorts, and it is unclear whether such data can support reliable PD detection without training deep mod...

H. Herath, Nuwan Madusanka Vithanage, Chaminda Hewage et al. · Bioengineering · 0 citations

Open access Aug 2026

Attention-Guided Rest–Walk EEG Modeling for Parkinson’s Disease Classification Using CNN Features and Transformer Encoding

An EEG-only, leakage-free framework for participant-level classification of PD and healthy controls using resting- and walking-state EEG data from the OpenNeuro ds007526 dataset is developed and demonstrates the feasibility of participant-level PD classification using a pooled collection of resting-state and walking EE...

H. Herath, Prathiksha Padmanabha, Nuwan Madusanka Vithanage et al. · Applied Sciences · 0 citations