Resources
7 results for "biomedical signals"
Software
Open Access
augsig: A Python Package for Physiological Signal Augmentation
The augsig package is a modular and extensible Python library for physiological signal augmentation. It provides a set of physiologically consistent augmentation methods for biomedical signals, designed to enhance data diversity, improve generalizat…
Database
Open Access
Brno University of Technology ECG Signal Database with Annotations of P Wave (BUT PDB)
Brno University of Technology ECG Signal Database with Annotations of P Wave (BUT PDB) is an ECG signal database with marked peaks of P waves created by the cardiology team at the Department of Biomedical Engineering, Brno University of Technology. …
Database
Open Access
Brno University of Technology Smartphone PPG Database (BUT PPG)
Brno University of Technology Smartphone PPG Database (BUT PPG) is a database created by the cardiology team at the Department of Biomedical Engineering, Brno University of Technology, for the purpose of evaluating PPG quality and estimation of hear…
Database
Open Access
Brno University of Technology ECG Quality Database (BUT QDB)
BUT QDB is a database created by the cardiology team at the Department of Biomedical Engineering, Brno University of Technology, for the purpose of evaluating ECG quality. The data comprises 18 long-term recordings of single-lead ECGs and associated…
Software
Open Access
Data Chromatix
Analysis of biomedical time series plays a key role in clinical management and basic investigation. However, most conventional monitors streaming data in real-time show only the most recent values, not referenced to past dynamics. The proposed visua…
Database
Restricted Access
DREAMT: Dataset for Real-time sleep stage EstimAtion using Multisensor wearable Technology
Sleep is an intrinsic part of human life, and recent advancements in wearable technology and machine learning have promised continuous and non-invasive methods of tracking sleep health and patterns, providing an important facet to a more holistic un…
Database
Open Access
Surface electromyographic signals collected during long-lasting ground walking of young able-bodied subjects
The present dataset is composed of long-lasting (around 5 minutes) surface electromyographic (sEMG) signals recorded from 2011 and 2018 during ground walking of 31 young (20 years < age < 30 years) able-bodied subjects in the Movement Analysis Lab, …