Alternatives and similar repositories for OSAS

Users that are interested in OSAS are comparing it to the libraries listed below

• sgoerttler / MSA-CNN
  Code for paper "MSA-CNN: A Lightweight Multi-Scale CNN with Attention for Sleep Stage Classification"
  ☆13Updated last month
• neergaard / deep-sleep-pytorch
  ☆17Updated 3 years ago
• Ankur-Samanta / MVMTnet-Transformer_ECGClassification
  MVMTnet - Multi-variate Multi-modal Transformer network implementation for multi-class classification of Cardiac abnormalities using clin…
  ☆17Updated 2 years ago
• HeartbeatAI / Deform-CNN
  Deformable convolutional networks for electrocardiogram diagnosis using pytorch
  ☆11Updated 2 years ago
• arlenejohn / CNN_sleep_apnea
  Code for the paper `A 1D-CNN based deep learning technique for sleep apnea detection in IoT sensors'
  ☆20Updated 9 months ago
• luciaquirke / sleep-apnea
  Convolutional neural network which uses 30 second single-channel EEG signals to detect apnea events. Kernels are visualised using Fourier…
  ☆22Updated 2 years ago
• ShijieCheng / BP_estimation
  Use DL Model to estimate blood pressure from PPG signal
  ☆17Updated 4 years ago
• XianhuiChen / Bottleneck-Attention-Based-Fusion-Network-for-Sleep-Apnea-Detection
  ☆24Updated last year
• abdullah-al-masud / Real-Time-P-QRS-and-T-Wave-Detection-by-QRS-Matched-Filter-Method
  This was my thesis topic in undergrad when I tried to track the heart beats from raw ECG signals. The intention was to build a model that…
  ☆21Updated 10 months ago
• yshanyes / Pytorch-ECG-Classifier-Cinc2020-Official
  This is a PyTorch implementation of "Multi-label Classification of Electrocardiogram with Modified Residual Networks" paper.
  ☆18Updated 4 years ago
• XianhuiChen / Toward-Sleep-Apnea-Detection-with-Lightweight-Multi-scaled-Fusion-Network
  Toward Sleep Apnea Detection with Lightweight Multi-scaled Fusion Network
  ☆40Updated 5 months ago
• JackAndCole / Detection-of-sleep-apnea-from-single-lead-ECG-signal-using-a-time-window-artificial-neural-network
  sleep apnea, time window, artificial neural network, time series, MLP
  ☆15Updated 5 years ago
• saharhzm / CrossModalSleepTransformer
  The Cross-modal SleepTransformer is a deep learning model designed for sleep stage classification based on multimodal physiological signa…
  ☆20Updated 11 months ago
• vinuni-vishc / MPCNN-Sleep-Apnea
  ☆17Updated last year
• mahsaabahrami / Sleep-Apnea
  A COMPREHENSIVE ANALYSIS OF SLEEP APNEA
  ☆54Updated 3 years ago
• miladasgari380 / cgan-ppg2abp
  This is the source code for the EMBC22' cgan paper. It converts ppg signal to abp
  ☆11Updated 3 years ago
• zou-group / sleepfm-clinical
  ☆13Updated 2 months ago
• UARK-AICV / ECG_SSL_12Lead
  [IEEE BHI 2022] Multimodality Multi-Lead ECG Arrhythmia Classification using Self-Supervised Learning
  ☆40Updated 10 months ago
• alwaysbyx / ecg_processing
  ecg processing 剔除错误数据 校正基线漂移 分割平均波 定位轴
  ☆14Updated 3 years ago
• wjq-learning / SleepDG
  [AAAI 2024] Generalizable Sleep Staging via Multi-Level Domain Alignment
  ☆20Updated 2 months ago
• CHENJIAR3 / MCMA
  Reconstructing 12-Lead ECG from Arbitrary Single-Lead ECG
  ☆18Updated 4 months ago
• wang-tf / deep_vital
  Deep learning tools for blood pressure
  ☆12Updated 2 years ago
• Runz96 / SQUWA
  Implementation for Paper "Signal Quality Weighted Fusion of Attentional Convolution and Recurrent Neural Network"
  ☆11Updated last year
• stmilab / ArterialNet
  ArterialNet reconstructs arterial blood pressure (ABP) waveform
  ☆13Updated 6 months ago
• harshraj3223 / Automated-Detection-and-Localization-of-Myocardial-Infarction-Research-Project
  Classifier for detection and prediction of the type of MI or NORM from 12-lead ECG beats.
  ☆20Updated 3 years ago
• SMU-MedicalVision / ECG-MoCo-Classfication
  Practical cardiac events intelligent diagnostic algorithm for wearable 12-lead ECG via self-supervised learning on large-scale dataset
  ☆29Updated 2 years ago
• klean2050 / tiles_ecg_model
  [JBHI 2024] Self-supervised pre-training on ECG collected in the wild
  ☆15Updated last year
• KryeKuzhinieri / predicting-driver-stress-using-deep-learning
  Predicting driver stress levels using Physionet's SRAD (drivedb) dataset with methods such as LSTMs, RNNs, CNNs
  ☆15Updated 2 years ago
• lhkhiem28 / LightX3ECG
  ☆22Updated 2 years ago
• ziyu-zui / heart-arrhythmia-diagnosis-with-deep-learning
  codes for paper: ECG-Based Heart Arrhythmia Diagnosis Through Attentional Convolutional Neural Networks
  ☆14Updated 2 years ago