a425929247's Stars
tongplw/Muse
🎧 Muse - The brain sensing headband plus attention level
fawzanhussain/Use-of-EEGs-to-Analyze-Student-Attention-during-Math-Assessment
The objective of this science project was to quantitatively measure a participant’s attention value during a test and assess the relationship between the attention of the participant and their score. My project involved 20 participants who are in Grades 10 and 11, who wore the Neurosky’s Mindwave EEG (a commercialized EEG) when doing a math assessment, consisting of 16 reworked questions from the British Columbian ‘Foundations and Pre-Calculus 10 Curriculum’. My hypothesis was that a student will score a high score on an assessment if the student’s attention level is maintained at a high level throughout. A Letter of Information/Consent was used in this project as the participants are under the age of 18. In analyzing the correlation coefficient in the line of best fit, it is evident that there is a weak uphill (positive) linear relationship between higher attention values and higher math scores. The low readings may be a result of the Neurosky Mindwave ‘s one electrode sensor not placed properly on the forehead. The probability of the one electrode sensor falling off the forehead is greater than a research EEG electrode cap falling off as this research EEG electrode cap encompasses multiple sensors on the entire skull. Research EEGs provide a greater collection of brain waves as they are emitted from various parts of the brain. Future steps as part of this project include utilizing a research EEG electrode cap that is affordable and reliable in gathering results as well as gathering more data from more project participants.
alecdou/Project-EEG-Based-Attention-Detection-Experiment
This software is implemented for data collection for my undergraduate research program
numediart/Attention-EEG
High-East/Attention-based-spatio-temporal-spectral-feature-learning-for-subject-specific-EEG-classification
Official code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper
RuiChen520/EEG_attention
test attention in EEG
nayuta-ai/Interpretability_Attention_EEG
caglorithm/sleepy
A python tool for slow wave detection and labelling
Frederik-D-Weber/cosleep
Closed- and Open-loop (Slow Oscillations) Sleep Stimulation (Auditory) or Recording in full-PSG using OpenBCI Cyton. Allows for Closed- and Open-loop Targeted Memory Reactivation (TMR) or Slow-wave Enhancement during Sleep.
raphaelvallat/yasa
YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.
CVxTz/EEG_classification
EEG Sleep stage classification using CNN with Keras
MousaviSajad/SleepEEGNet
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach
kedarps/DeepSleepNet
Implementation of DeepSleepNet for classifying EEG signals into one of six sleep stages based on Supratak et. al 2017
Mensen/swa-matlab
Sleep Wave Analysis - an open source toolbox for matlab to score and analyse various waveforms in sleep EEG data
Allison-1999/Synthetic-data-methods-applied-to-sleep-stage-analysis
Sleep apnea: A disease marked by abnormal breathing during sleep. Sleep EEG and ECG data is not easy to obtain, and there are a lot of artefacts. Synthetic data - Solve the lack of Sleep EEG and ECG data. - Working with synthetic data will not decrease classification performance of sleep staging, and could improve classification performance. - For practical studies when the sample size is small
sathvikyesprabhu/eeg-sleep-scoring
Sleep staging using multi-channel EEG
KayXi2014/EEGprocessing_MATLAB
EEG signal processing, sleep staging
AbhayKoushik/RealTimeSleepStaging
This repository is dedicated to real-time automation of sleep staging
Stanford-STAGES/stanford-stages
Automated sleep staging scoring and narcolepsy identification