An open-source sleep stage classification Python package
Python API for Mentalab biosignal aquisition devices
Demo several ways of making sound from Numpy arrays in Python, white noise
Sleep stage classification using BCG-based pressure signals and residual-biLSTM networks
Wearanize+ is a multimodal sleep dataset containing overnight sleep data from 130 young, healthy participants using PSG and three wearables
Sleep stage classification using LSTM networks
A Multi-Level Tree-based Ensemble Model for Automatic Sleep Stage Classification
Sleep Classification using Ensemble Classification
Sleep Optimizer App to detect disturbances, optimize sleep quality, and give personalized recommendations (sleep audio analysis using librosa, PyTorch, sklearn).
Sleep has positive effects on memory consolidation, a critical process for learning and cognitive function. By analyzing changes in both lower and higher-level visual representations of episodic memories before and after sleep, we aim to understand how sleep affects the retention and modification of visual and semantic information.
An app to understand my sleeping habits with insights. 😴
High-frequency broadband activity detected noninvasively in infants distinguishes wake from sleep states: Part 2 (2025)
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