Automatic Diagnosis of Intellectual and Developmental Disorder Using Machine Learning Based on Resting-State EEG Recordings

Author:

Breitenbach Johannes1,Raab Dominik2,Fezer Eric2,Sauter Daniel2,Baumgartl Hermann1,Buettner Ricardo3

Affiliation:

1. University of Bayreuth,Bayreuth,Germany

2. Aalen University,Aalen,Germany

3. University of Bayreuth, Fraunhofer FIT,Bayreuth,Germany

Publisher

IEEE

Cited by 4 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. Machine Learning for Predicting Neurodevelopmental Disorders in Children;Applied Sciences;2024-01-18

2. Applying B-value and Empirical Equivalence Hypothesis Testing to IDD EEG Data;2023 30th National and 8th International Iranian Conference on Biomedical Engineering (ICBME);2023-11-30

3. ETSNet: A deep neural network for EEG-based temporal–spatial pattern recognition in psychiatric disorder and emotional distress classification;Computers in Biology and Medicine;2023-05

4. A Deep Learning-Based Model for Automated Quality Control in the Pharmaceutical Industry;2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC);2022-06

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