Alternatives and similar repositories for wearable-infection

Users that are interested in wearable-infection are comparing it to the libraries listed below

• gireeshkbogu / LAAD
  Uses LSTM-based autoencoders to detect abnormal resting heart rate during the coronavirus (SARS-CoV-2) infectious period using the wearab…
  ☆11Updated 4 years ago
• Nokia-Bell-Labs / papagei-foundation-model
  (ICLR'25) PaPaGei: Open Foundation Models for Optical Physiological Signals
  ☆141Updated 6 months ago
• elyiorgos / sleeppy
  ☆67Updated 2 years ago
• scientisst / BioSPPy
  Biosignal Processing in Python
  ☆105Updated 2 months ago
• DigitalBiomarkerDiscoveryPipeline / Pre-process
  Pre-processing methods for mHealth and wearables data.
  ☆21Updated 2 years ago
• OxWearables / ssl-wearables
  Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)
  ☆142Updated last year
• im-ethz / flirt
  Are you ready to FLIRT with your wearable data?
  ☆78Updated last year
• chengstark / Segade
  A supervised machine learning semantic segmentation approach for detecting artifacts in plethysmography signals from wearables
  ☆18Updated 4 years ago
• PALMS-gui / PALMS
  Platform for Analysis and Labeling of Medical Time Series
  ☆25Updated 5 years ago
• pfizer-opensource / scikit-digital-health
  Python package for the processing and analysis of Inertial Measurement Unit Data
  ☆87Updated 4 months ago
• microsoft / aurorabp-sample-data
  Sample data associated with the Aurora-BP study
  ☆39Updated 9 months ago
• OxWearables / biobankAccelerometerAnalysis
  Extracting meaningful health information from large accelerometer datasets
  ☆236Updated 2 months ago
• SCAI-Lab / VitalPy
  A Vital Signal Analysis Package
  ☆23Updated last year
• Sarathismg / BayesBeat
  Source code of BayesBeat: A Bayesian Deep Learning Approach for Atrial Fibrillation Detection from Noisy Photoplethysmography Data
  ☆16Updated 3 years ago
• embodied-computation-group / systole
  Systole: A python package for cardiac signal synchrony and analysis
  ☆85Updated 8 months ago
• mad-lab-fau / BioPsyKit
  A Python package for the analysis of biopsychological data.
  ☆47Updated this week
• guxiao0822 / Awesome-Biosignal-Foundation-Model
  A curated list of foundation models, datasets, and tools for biosignals
  ☆102Updated 2 weeks ago
• ritikajha / ECG-Digitization
  A tool developed using python to convert images of ECG's into signals of ECG basically digitize them.
  ☆33Updated 4 years ago
• AshleyLab / deepbeat
  DeepBeat: Multi-task deep learning for cardiac rhythm detection in wearable devices
  ☆28Updated 5 years ago
• Aura-healthcare / ecg_qc
  A library to compute ECG signal quality indicators
  ☆43Updated 3 years ago
• bowang-lab / ecg-fm
  An electrocardiogram analysis foundation model.
  ☆237Updated last week
• Welltory / welltory-ppg-dataset
  ☆19Updated 4 years ago
• cbrnr / sleepecg
  Sleep stage detection using ECG
  ☆138Updated last week
• obss / BIOBSS
  A package for processing signals recorded using wearable sensors, such as Electrocardiogram (ECG), Photoplethysmogram (PPG), Electroderma…
  ☆141Updated last year
• Tereshchenkolab / ecg-digitize
  A library and command-line tool for digitizing electrocardiograms images
  ☆34Updated 4 years ago
• godamartonaron / GODA_pyPPG
  pyPPG v01
  ☆60Updated 8 months ago
• fwolling / PPGraw
  DATA'20 - PPGraw is an analytical tool for the quality review of raw photoplethysmography (PPG) signals, based on 7 multi-varied decision…
  ☆49Updated 4 years ago
• mwgrassgreen / WearableDetection
  ☆16Updated 5 years ago
• vanderschaarlab / temporai
  TemporAI: ML-centric Toolkit for Medical Time Series
  ☆127Updated 2 years ago
• HealthSciTech / E2E-PPG
  End-to-End PPG Processing Pipeline for Wearables: From Quality Assessment and Motion Artifacts Removal to HR/HRV Feature Extraction
  ☆73Updated 2 years ago