Classifying Multi-Level Stress Responses From Brain Cortical EEG in Nurses and Non-Health Professionals Using Machine Learning Auto Encoder

Author:

Akella AshleshaORCID,Singh Avinash KumarORCID,Leong DanielORCID,Lal Sara,Newton Phillip,Clifton-Bligh Roderick,Mclachlan Craig Steven,Gustin Sylvia Maria,Maharaj Shamona,Lees TyORCID,Cao ZehongORCID,Lin Chin-TengORCID

Funder

New South Wales (NSW) Defence Innovation Network through NSW State Government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Medicine

Cited by 15 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

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3. Green EEG energy control robot for supporting bedfast patients;Energy Reports;2023-12

4. Quantifying Stress Levels in Night-Shift Bus Drivers: An Integrative Approach Utilizing Wearable Sensor Technology and Qualitative Evaluation;2023 IEEE Engineering Informatics;2023-11-22

5. Automated Stress Level Detection for Hospital Nurses: A Single Triaxial Wearable Accelerometer Sensor System Approach;2023 20th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE);2023-10-25

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