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Lina_361's Projects

3dbrain icon 3dbrain

3D Brain for AI - User Interface - Thee.js

ants_youtube_videos icon ants_youtube_videos

The code and data files that accompany a 9-part lecture series on analyzing M/EEG/LFP data.

bci_mi_wavelet_cnn icon bci_mi_wavelet_cnn

Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network

biomed icon biomed

Prediction of Epileptic Seizures using Spectrograms.

chbmit-seizure-prediction icon chbmit-seizure-prediction

Predicting seizures in pediatric subjects with intractable seizures. Data from Children's Hospital Boston MIT.

cmorlet-tensorflow icon cmorlet-tensorflow

A TensorFlow implementation of the Continous Wavelet Transform based on the complex Morlet wavelet.

cnn-lstm-bilstm-deepcnn-clstm-in-pytorch icon cnn-lstm-bilstm-deepcnn-clstm-in-pytorch

In pytorch Learing Neural Networks likes CNN(Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) 、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM

dl-models-for-seizure-detection-using-spectrograms icon dl-models-for-seizure-detection-using-spectrograms

This repository contains codes for binary image classification of seizure detection. EEG signals can be converted into spectrogram images which can be used as inputs for deep learning and transfer learning models.

ece496 icon ece496

Capstone project in detecting artifacts in EEG's for predicting seizures in infants in supervision of Prof. Bardakjian

eeg_analysis icon eeg_analysis

Tutorial for EEG preprocessing using MNE in Jupyter notebooks

eeg_dsp icon eeg_dsp

EEG signal processing using python during normal brain activity and seizure.

epihealthml icon epihealthml

EpiHealth is a seizure prediction and detection app that uses AI and biometric data from wearable wrist devices to give people with epilepsy autonomy over their condition. Additional metrics such as stress levels are monitored to keep users aware of their triggers.

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