Electroencephalography signals-based sparse networks integration using a fuzzy ensemble technique for depression detection

Author:

Soni SurbhiORCID,Seal AyanORCID,Mohanty Sraban Kumar,Sakurai Kouichi

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference56 articles.

Cited by 7 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. A novel study for depression detecting using audio signals based on graph neural network;Biomedical Signal Processing and Control;2024-02

2. The Three-Lead EEG Sensor: Introducing an EEG-Assisted Depression Diagnosis System Based on Ant Lion Optimization;IEEE Transactions on Biomedical Circuits and Systems;2023-12

3. Attention-Based VGG-Residual-Inception Module for EEG-Based Depression Detection;2023 15th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT);2023-10-30

4. Towards Implementation of Emotional Intelligence in Human–Machine Collaborative Systems;Electronics;2023-09-12

5. Feature extraction based on sparse graphs embedding for automatic depression detection;Biomedical Signal Processing and Control;2023-09

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