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A M's Projects

12jfpm_ssvep icon 12jfpm_ssvep

12-class joint frequency-phase modulated SSVEP dataset for estimating online BCI performance

awesome-mental-health icon awesome-mental-health

A curated list of awesome articles, websites and resources about mental health in the software industry.

awesome_ml_for_mental_health icon awesome_ml_for_mental_health

A curated list of awesome work on machine learning for mental health applications. Includes topics broadly captured by affective computing. Facial expressions, speech analysis, emotion prediction, depression, interactions, psychiatry etc. etc.

books icon books

ROS学习相关电子书,目前收集了10本

brain-computer-interfaces icon brain-computer-interfaces

Steady-state Visual Evoked Potentials (SSVEP) BCI Classification Algorithms on a 12-Class SSVEP Public Dataset

braindecode icon braindecode

A deep learning toolbox to decode raw time-domain EEG.

brainpad icon brainpad

Classification of EEG signals from the brain through OpenBCI hardware and Tensorflow-Keras API

docs icon docs

Documentation for OpenBCI

dukkhalessclient icon dukkhalessclient

A self-care application for individuals seeking to improve their mental health

eeg icon eeg

Code to read EEG data via a soundcard or Arduino

eeg-101 icon eeg-101

Interactive neuroscience tutorial app using Muse and React Native to teach EEG and BCI basics.

eeg-classification icon eeg-classification

This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data.

eeg-notebooks icon eeg-notebooks

A collection of classic EEG experiments implemented with Python and Jupyter notebooks

eeg-real-time-acquisition-and-power-spectrum-and-coherence-analysis icon eeg-real-time-acquisition-and-power-spectrum-and-coherence-analysis

These files contemplate my scientific initiation project in digital signal processing. In this project I developed a BCI in Python using Ultracortex "Mark IV" EEG system from OpenBCI and I proposed a non-parametric analysis of data during stress tasks (Montreal and Stroop) through Welch's power spectrum and coherence estimator.

eeglearn icon eeglearn

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

eegsynth icon eegsynth

Converting real-time EEG into sounds, music and visual effects

eegtools icon eegtools

Collection of Python modules for EEG analysis. Includes EDF+ and BDF loaders, scalp plots and commonly used spatial filters.

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