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A Machine Learning Approach for Artifact Removal from Brain Signal

  • Published:2023 Issue:2 Volume:45 Page:1455-1467
  • ISSN:0267-6192
  • Container-title:Computer Systems Science and Engineering
  • language:en
  • Short-container-title:

Author:

Behera Sandhyalati,Narayan Mohanty Mihir

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

General Computer Science,Theoretical Computer Science,Control and Systems Engineering

Reference35 articles.

1. A Real-time depth of anesthesia monitoring system based on deep neural network with large EDO tolerant EEG analog front-end;Park;IEEE Transactions on Biomedical Circuits and Systems,2020

2. Automated adult epilepsy diagnostic tool based on interictal scalp electroencephalogram characteristics: A six-center study;Thomas;International Journal of Neural Systems,2021

3. Machine learning for predicting epileptic seizures using EEG signals: A review;Rasheed;IEEE Reviews in Biomedical Engineering,2020

4. Future of EEG based hybrid visual brain computer interface systems in rehabilitation of people with neurological disorders;Kapgate;International Research Journal on Advanced Science Hub,2020

5. Deep learning based prediction of EEG motor imagery of stroke patients’ for neuro-rehabilitation application;Raza,2020

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. ECG Signal Enhancement using Selective Weight Update Adaptive Filtering Techniques for Telemetry Applications;2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS);2024-02-24
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