Quantifying Consciousness for Alzheimer's Disease Diagnosis through Electroencephalogram Processing-Reference-Cited by-同舟云学术

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Quantifying Consciousness for Alzheimer's Disease Diagnosis through Electroencephalogram Processing

Published:2024-05-17 Issue: Volume: Page:164-168
ISSN:
Container-title:Proceedings of the 2024 8th International Conference on Medical and Health Informatics
language:
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Author:

Ma Yuan¹^ORCID,Bland Jeffery Keith Spaneas²^ORCID,Yoshikawa Gaku³^ORCID,Fujinami Tsutomu⁴^ORCID

Affiliation:

1. Development Division, FOVE Inc., Japan and School of Knowledge Science, Japan Advanced Institute of Science and Technology, Japan

2. Development Division, FOVE Inc., Japan

3. School of Knowledge Science, Japan Advanced Institute of Science and Technology, Japan and Development Division, FOVE Inc., Japan

4. School of Knowledge Science, Japan Advanced Institute of Science and Technology, Japan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3673971.3673978

Reference18 articles.

1. Impact of EEG Parameters Detecting Dementia Diseases: A Systematic Review

2. Understanding brain function in vascular cognitive impairment and dementia with EEG and MEG: A systematic review

3. Andras Horvath Anna Szucs Gabor Csukly Anna Sakovics Gabor Stefanics and Anita Kamondi. 2018. EEG and ERP biomarkers of Alzheimer's disease: a critical review. Frontiers in bioscience (Landmark edition) 23 183-220.

4. Raymundo Cassani, Mar Estarellas, Rodrigo San-Martin, Francisco J. Fraga, and Tiago H. Falk. 2018. Systematic review on resting-state EEG for Alzheimer's disease diagnosis and progression assessment. Disease markers, 2018.

5. Michal Teplan. 2002. Fundamentals of EEG measurement. Measurement science review 2 2 1-11.

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