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Apr 8, 2018 - Python
eeg-signals
Here are 266 public repositories matching this topic...
🧠 Comparison of brainwave between 2 gathering sources - Mindwave and Muse - in random state
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Jul 15, 2020 - Jupyter Notebook
[JNE] Journal of Neural Engineering
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Apr 18, 2024
Driver's Consciousness Level Analysis using EEG Signals
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Apr 24, 2023
[Project] CNN-based for single-channel sleep-state classification
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Jul 2, 2019
Bronze medal solution for the kaggle competition HMS-Harmful Brain Activity Classification
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Apr 10, 2024 - Jupyter Notebook
Analysis of Phase Locking Value during Olfactory Stimulation as a Biomarker for Alzheimer’s Disease in EEG Signals
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Nov 17, 2023 - MATLAB
AI & BC Course Project
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Sep 27, 2024 - MATLAB
Brainwave signal dataset.
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Oct 1, 2021
Scripts criados para construção de conjuntos de dados de EEG através dos arquivos BrainVision (.eeg, .vhdr, .vmrk) com o auxílio da toolbox EEGLab e atribuição de rótulos para cada ERP.
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Sep 6, 2022 - MATLAB
Questo codice prende i valori di diversi EEG provenienti da una tabella di un file cvs, ne fa la trasformata di Fourier e ne fa vedere i grafici evidenziando i diversi ritmi celebrali.
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May 5, 2024 - MATLAB
Its an attempt to create Brain Hash Algorithm able to find robust distinction between EEG signals of different humans
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Jul 4, 2017 - Python
Fuzzy Discernibility Matrix-based a novel feature selection technique
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Jun 25, 2021 - Jupyter Notebook
A "Sleep Spindle" Detector that detects Sleep Spindles from raw EEGs files (the file format is .edf). To do this, the code uses 4 parameters: Absolute Sigma Power; Relative Sigma Power; Moving Correlation; Moving Root Mean Square.
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May 19, 2023 - Python
3D-printed EEG electrodes with conductive PLA.
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Jul 17, 2021
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Apr 12, 2022 - Jupyter Notebook
Using EEGLAB to process EEG signal from a subject in a resting-wakeful state with their eyes opened and closed.
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Jan 23, 2021 - MATLAB
This project explores the impact of Multi-Scale CNNs on the classification of EEG signals in Brain-Computer Interface (BCI) systems. By comparing the performance of two models, EEGNet and MSTANN, the study demonstrates how richer temporal feature extractions can enhance CNN models in classifying EEG signals
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Aug 14, 2024 - Jupyter Notebook
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