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Search results for time series eeg
eeg
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time-series
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19 search results found
Pyriemann
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574
Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python
Ts Tcc
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226
[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
Analyzing_neural_time_series
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124
python implementations of Analyzing Neural Time Series Textbook
Adatime
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77
[TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data
Tsception
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50
PyTorch implementation of TSception
Eegclassificationmcnn
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46
Solution for EEG Classification via Multiscale Convolutional Net coded for NeuroHack at Yandex.
Eeg_real_time_seizure_detection
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32
Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting
Adast
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23
[IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"
Hctsatutorial_bonneeg
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16
hctsa tutorial using the five-class Bonn EEG dataset
Eeg Transformer Seq2seq
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14
Modified transformer network utilizing the attention mechanism for time series or any other numerical data. 6.100 project at MIT Media Lab.
Detrtime
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14
DETRtime, a framework for time-series segmentation
Pacmeg
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10
MATLAB scripts for detecting and validating phase amplitude coupling (PAC) in electrophysiological data
Physiology Viewer
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9
This is a suite of python programs and example datasets for displaying graphs of EEG, ECG and respiration data recorded by the Muse headband and Vernier probe devices.
Phase Coherence For Python
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9
Function to calculate consistency of phase at a given frequency across measurements
Muse Eeg Toolkit
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8
A collection of common utilities for building a Muse Android app.
Fast Permutation Entropy
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7
MATLAB script for efficiently computing values of permutation entropy from 1D time series in sliding windows
Portunus
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6
🧠 ∿ 🔓 A file-storage application with ultra-mega-secure authentication using brain biometrics.
Bof_eeg
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6
Using Bag-of-Features to classify EEG time-series data
Multivariate Multiscale Permutation Entropy
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6
Apply multivariate multiscale permutation entropy transform to multivariate time series
Chbmit Seizure Prediction
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5
Anomaly prediction using brain signals with Fourier transformed features and SVM classifier.
Brede
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5
Brede
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