Orang-utan / CNN-Sleep-Stage-EstimationLinks
π΄ Classifying patient sleep stage (i.e. REM sleep, shallow, etc.) based on Heart Rate Variability data; model is based on time-domain Convolutional Neural Network, implemented in Tensorflow, Python.
β20Updated 5 years ago
Alternatives and similar repositories for CNN-Sleep-Stage-Estimation
Users that are interested in CNN-Sleep-Stage-Estimation are comparing it to the libraries listed below
Sorting:
- Matlab toolbox for calculating Heart-Rate Variability metrics on ECG signalsβ84Updated 2 years ago
- Greifswald Sleep Stage Classifier - a deep-learning based EEG sleep stage classifierβ13Updated 2 months ago
- Sleep stage detection using ECGβ136Updated 3 weeks ago
- Methods for analyzing Heart Rate Variabilityβ88Updated 5 years ago
- β26Updated 2 years ago
- Classification of sleep stages using accelerometer dataβ54Updated 3 years ago
- Systole: A python package for cardiac signal synchrony and analysisβ85Updated 6 months ago
- A library to compute ECG signal quality indicatorsβ42Updated 2 years ago
- DATA'20 - PPGraw is an analytical tool for the quality review of raw photoplethysmography (PPG) signals, based on 7 multi-varied decisionβ¦β48Updated 4 years ago
- A graphical user interface for feature extraction from heart- and breathing biosignals.β71Updated last year
- Code to estimate HR from PPG signals using Subspace Decomposition and Kalman filter for the dataset of 22 PPG recordings provided for theβ¦β81Updated 8 years ago
- A Python package for physyological's signals processingβ67Updated last year
- This repository is dedicated to real-time automation of sleep stagingβ24Updated 5 years ago
- Benchmark code for the paper: "Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging"β93Updated 3 months ago
- PhysioNet Cardiovascular Signal Toolboxβ129Updated 2 years ago
- Heart Rate Variability Analysis Softwareβ160Updated last year
- Automated sleep staging scoring and narcolepsy identificationβ87Updated last year
- BioSignal Analysis Kitβ117Updated 6 years ago
- Are you ready to FLIRT with your wearable data?β77Updated last year
- Code for the paper `A 1D-CNN based deep learning technique for sleep apnea detection in IoT sensors'β22Updated last year
- An open-source sleep stage classification Python packageβ112Updated last month
- SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approachβ260Updated 4 years ago
- Codes of PPG Signal Analysisβ38Updated 4 years ago
- β44Updated 8 years ago
- Sleep stage automatic classifier using CNNs and LSTMs to process frequency signals of brain activity recorded via ElectroEncephaloGram EEβ¦β21Updated 3 years ago
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo froβ¦β160Updated 2 years ago
- Detect sleep apnea using heart rate data from wearable devicesβ34Updated last year
- Using self-supervised learning to extract features from PPG signalsβ20Updated 2 years ago
- A package for processing signals recorded using wearable sensors, such as Electrocardiogram (ECG), Photoplethysmogram (PPG), Electrodermaβ¦β135Updated last year
- Algorithms to estimate respiratory rate from physiological signalsβ186Updated last year