A Review of Non Invasive Methods of Brain Activity Measurements via EEG Signals Analysis-Reference-Cited by-同舟云学术

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A Review of Non Invasive Methods of Brain Activity Measurements via EEG Signals Analysis

Published:2023-04-29 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)
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Author:

Dabbabi Turkia¹,Bouafif Lamia²,Cherif Adnen³

Affiliation:

1. ATSSEE,Science Faculty of Tunis,Tunis,Tunisia,1092

2. High Institute of Technologies Studies, ISTMT, Av. Zouheir Essafi,Tunis,Tunisia,1006

3. Science Faculty of Tunis,Tunis,Tunisia,1092

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10149846/10150436/10150607.pdf?arnumber=10150607

Reference21 articles.

1. Monitoring the Depth of Anaesthesia

2. The Discriminant Power of Simultaneous Monitoring of Spontaneous Electroencephalogram and Evoked Potentials as a Predictor of Different Clinical States of General Anesthesia

3. Automated Analysis and Trending of the Raw EEG Signal

4. Comparison of bispectral index, 95% spectral edge frequency and approximate entropy of the EEG, with changes in heart rate variability during induction of general anaesthesia

5. EEG-Based Spatio–Temporal Convolutional Neural Network for Driver Fatigue Evaluation

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. Identification of Finger Movement from ECoG Signal Using Machine Learning Model;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05

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