Prediction model of response to standardized painful stimulation during general anesthesia: Applying machine learning to the EEG signal
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9659537/9659538/09660114.pdf?arnumber=9660114
Reference13 articles.
1. A Review on Machine Learning for EEG Signal Processing in Bioengineering
2. Towards an Accelerometer-Based Elderly Fall Detection System Using Cross-Disciplinary Time Series Features
3. EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces
4. EEG based multi-class seizure type classification using convolutional neural network and transfer learning
5. Validation of Innovative Techniques for Monitoring Nociception during General Anesthesia
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1. Harnessing machine learning for EEG signal analysis: Innovations in depth of anaesthesia assessment;Artificial Intelligence in Medicine;2024-05
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