Machine Learning Methods for Electroencephalogram-Based Age Prediction-Reference-Cited by-同舟云学术

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Machine Learning Methods for Electroencephalogram-Based Age Prediction

Published:2023-10-29 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE SENSORS
language:
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Author:

Sinha Grant¹,Belacel Nabil²,Gu Zhiyang³,Doesburg Sam M⁴,Medvedev George⁵,Ribary Urs⁶,Vakorin Vasily A⁶,Xi Pengcheng²

Affiliation:

1. Simon Fraser University, University of Waterloo,Waterloo,Canada

2. National Research Council Canada,Digital Technologies Research Centre,Ottawa,Canada

3. Simon Fraser University, McMaster University,Hamilton,Canada

4. Simon Fraser University,Biomedical Physiology and Kinesiology,Burnaby,Canada

5. Fraser Health Authority,Division of Neurology,Vancouver,Canada

6. Simon Fraser University,Department of Psychology,Burnaby,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10324456/10324848/10324895.pdf?arnumber=10324895

Reference18 articles.

1. A Long Short-Term Memory deep learning network for the prediction of epileptic seizures using EEG signals

2. LSTM-Based EEG Classification in Motor Imagery Tasks

3. Deep Learning based Prediction of EEG Motor Imagery of Stroke Patients’ for Neuro-Rehabilitation Application

Cited by 1 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. Enhancing Brain Age Prediction: A Generative AI Approach for EEG Machine Learning Models;2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC);2024-05-20

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