sdimi / Step2heartLinks
ποΈ Extract generalizable physiological representations from sensor time-series data with self-supervision (code for CHIL 2021, NeurIPS-W 2020 papers)
β18Updated last year
Alternatives and similar repositories for Step2heart
Users that are interested in Step2heart are comparing it to the libraries listed below
Sorting:
- Contrastive Learning (SimCLR) for Human Activity Recognitionβ77Updated 4 years ago
- Code for RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data (ICLR 2025)β12Updated 2 months ago
- Implementations of various published works on self-supervised learning approaches to biosignal feature extraction.β53Updated 2 years ago
- Improving Human Activity Recognition through Self-training with Unlabeled Dataβ41Updated 3 years ago
- Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)β127Updated 7 months ago
- A Systematic Review: Self-Supervised Contrastive Learning for Medical Time Seriesβ28Updated 10 months ago
- [TNSRE 2023] Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluationβ43Updated last year
- πͺ Predict lab-measured cardio fitness (VO2max) through wearables in free-living environments (code for Nature Digital Medicine '22 papeβ¦β22Updated last year
- COCOA: Cross Modality Contrastive Learning for Sensor Dataβ25Updated 2 years ago
- Generating ActiGraph Counts from Raw Acceleration Recorded by an Alternative Monitorβ30Updated 5 years ago
- Implementation of the InterpretTime frameworkβ47Updated 2 years ago
- [Nature Communications 2021] Continual learning of AI models on ECG data with CLOPSβ20Updated 2 years ago
- Are you ready to FLIRT with your wearable data?β72Updated last year
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"β34Updated 2 years ago
- Do not sleep on traditional machine learning for sleep stage scoringβ51Updated last year
- Transfer learning for sleep stage detectionβ30Updated 3 years ago
- BioDG is a publically available framework for the evaluation of Domain Generalization algorithms in Biosignal Classification.β18Updated 2 months ago
- SiamAF: Learning Shared Information from ECG and PPG Signals for Robust Atrial Fibrillation Detectionβ24Updated last year
- CAPTURE-24: Human activity recognition with activity trackersβ39Updated 6 months ago
- DeepConvLSTM implemented in python 3 and pytorchβ26Updated 3 years ago
- Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informaticβ¦β41Updated 4 years ago
- β61Updated 2 years ago
- Three-stage sleep classificationβ24Updated last year
- Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensorsβ23Updated 4 years ago
- [IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"β39Updated last year
- asleep: a sleep classifier for wearable sensor data using machine learningβ27Updated last month
- SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Stagingβ53Updated 4 years ago
- The official implementation for our TNNLS paper "Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformerβ¦β48Updated last year
- Lib for event and sample based performance metricsβ17Updated 5 months ago
- β16Updated 2 years ago