Electrocardiogram (ECG), Electrodermal Activity (EDA), Electromyogram (EMG) and Impedance Cardiography (ICG) are among physiological signals widely used in various biomedical applications. The Bio-SP Tool is intended to assist researchers in machine learning and pattern recognition to extract feature matrix from these bio-signals automatically and reliably. This tool is compatible with MathWorks Classification Learner app for further classification purposes such as model training, cross-validation scheme farming, and classification result computation.
*Please reference our paper “A Biosignal-Specific Processing Tool for Machine Learning and Pattern Recognition” published in IEEE-NIH 2017 Special Topics Conference on Healthcare Innovations and Point-of-Care Technologies (HI-POCT 2017) as a reference for this work.
New code with biosignal quality checking is released.
An updated version of Bio-SP tool will be added soon.
Create scripts with code, output, and formatted text in a single executable document.