YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
U-Time: A Fully Convolutional Network for Time Series Segmentation
Sleep As Android integration for Home Assistant
TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo from The Faculty of ICT, Mahidol University and Imperial College London respectively
An open-source sleep stage classification Python package
Dreamento (DReam ENgenieering TOolbox): a Python-based software for dream engineering while monitoring/analyzing real-time EEG data.
Analyzing all my Quantified Self data
Luna software for sleep EEG analysis (base)
A compact U-Net-inspired convolutional neural network with 740,551 parameters, designed to predict non-apnea sleep arousals from full-length multi-channel polysomnographic recordings at 5-millisecond resolution. Achieves similar performance to DeepSleep with lower computational cost.
EEGLAB-compatible analysis software for manual / visual sleep stage scoring, signal processing and event marking of polysomnographic (PSG) data for MATLAB.
A night-vision smart camera that detects eye movements during REM sleep and triggers audio and visual alerts to promote lucidity.
CCRRSleepNet: A Hybrid Relational Inductive Biases Network for Automatic Sleep Stage Classification on Raw Single-Channel EEG
A plug-in for the EEG lab toolbox to implement Artifact Subspace Reconstruction cleaning with whole-night sleep EEG
View your sleep diary
Sleep stage classification using LSTM networks
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