Using chemosensory-induced EEG signals to identify patients with de novo Parkinson’s disease

Author:

Olcay B. Orkan,Onay Fatih,Akın Öztürk Güliz,Öniz Adile,Özgören MuratORCID,Hummel Thomas,Güdücü ÇağdaşORCID

Funder

Türkiye Bilimsel ve Teknolojik Araştırma Kurumu

Dokuz Eylül Üniversitesi

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference167 articles.

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3. Functional connectivity of major depression disorder using ongoing EEG during music perception;Liu;Clin. Neurophysiol.,2020

4. Scalp EEG functional connection and brain network in infants with West syndrome;Zheng;Neural Networks.,2022

5. Non-linear dynamical analysis of EEG time series distinguishes patients with Parkinson’s disease from healthy individuals;Lainscsek;Front. Neurol.,2013

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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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