Using chemosensory-induced EEG signals to identify patients with de novo Parkinson’s disease
Author:
Funder
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu
Dokuz Eylül Üniversitesi
Publisher
Elsevier BV
Subject
Health Informatics,Signal Processing,Biomedical Engineering
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1. Skip-AttSeqNet: Leveraging skip connection and attention-driven Seq2seq model to enhance eye movement event detection in Parkinson’s disease;Biomedical Signal Processing and Control;2025-01
2. Parkinson's Disease Detection by Machine Learning;2023 Intelligent Computing and Control for Engineering and Business Systems (ICCEBS);2023-12-14
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