sleep-spindles

YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.

Sleep EEG Event Detector (SEED) model, a deep learning-based detector of sleep spindles and K-complexes

Multichannel Sleep Spindle Detector for sleep EEG

Method for detecting sleep spindles using EEGlab functions and datasets

Detection of K-complexes and Sleep Spindles (DETOKS) using Sparse Optimization for sleep EEG

A new take on EEG sleep spindles detection exploiting a generative model (dynamic bayesian network) to characterize reoccurring dynamical regimes of single-channel EEG.

EEG signal processing and classification for detecting sleep spindles and classifying motor imagery tasks using Python.

Data-driven decomposition of neurophysiological event waveform populations

A lightweight version of the Sleep module of the Visbrain package

Feature Engineering for Sleep Spindle classification

A local desktop viewer for PSG & EEG sleep recordings.

Brainstorm Custom Processes Repository for EEG Analysis

EEG Preprocessor for sleep spindle detection

SleepRhythms: MATLAB toolbox for detecting slow oscillations, sleep spindles and REM theta/alpha bursts in sleep EEG (Sleep and Cognition (SaC) Lab)

Spindle Iterative RevIsion System (SIRIS): an open source project for human-machine coupled sleep spindle detection by iterative revision.

BrainMaze: ready-to-use trained models for brain electrophysiology (seizure probability, sleep spindles), running on ONNX Runtime (CPU or GPU; no PyTorch needed).

Deep learning model for sleep spindles detection