Enhanced Alzheimer's disease and Frontotemporal Dementia EEG Detection: Combining lightGBM Gradient Boosting with Complexity Features-Reference-Cited by-同舟云学术

Enhanced Alzheimer's disease and Frontotemporal Dementia EEG Detection: Combining lightGBM Gradient Boosting with Complexity Features

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS)
language:
Short-container-title:

Author:

Miltiadous Andreas¹,Tzimourta Katerina D.²,Aspiotis Vasileios³,Afrantou Theodora⁴,Tsipouras Markos G.²,Giannakeas Nikolaos¹,Glavas Euripidis¹,Tzallas Alexandros T.³

Affiliation:

1. University of Ioannina,Dept. of Informatics and Telecommunications,Kostakioi, Arta,Greece

2. University of Western Macedonia,Dept. of Electrical & Computer Engineering,Kozani,Greece

3. University of Ioannina,Faculty of Medicine,Ioannina,Greece

4. AHEPA University Hospital, Aristotle University of Thessaloniki,Dept. of Neurology,Thessaloniki,Greece

Funder

MIS

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10178426/10178704/10178723.pdf?arnumber=10178723

Reference36 articles.

1. Clinical Dementia Rating: A Reliable and Valid Diagnostic and Staging Measure for Dementia of the Alzheimer Type

2. Detection of Alzheimer’s Disease Using a Four-Channel EEG Montage

3. The Mini-Mental State Examination (MMSE)

4. Higuchi fractal dimension of the electroencephalogram as a biomarker for early detection of Alzheimer's disease

5. Fast automated on‐chip artefact removal of EEG for seizure detection based on ICA‐R algorithm and wavelet denoising

Cited by 3 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. Detecting Cognitive Decline in Alzheimer's Disease using Brain Signals: An EEG Based Classification Approach;2024 IEEE 4th International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA);2024-05-19

2. A Comparative Study on Feature Extraction Techniques for the Discrimination of Frontotemporal Dementia and Alzheimer’s Disease with Electroencephalography in Resting-State Adults;Brain Sciences;2024-03-29

3. Exploring new horizons in neuroscience disease detection through innovative visual signal analysis;Scientific Reports;2024-02-20