Abstract:
This research project focuses on the electrocardiogram (ECG) signal characteristics and introduces novel methods to identify certain types of arrhythmia and/or the onset of heart attack with high accuracy. This is especially important as fatal heart episodes have been reported in connection with takeoffs and landings as well as high-altitude atmospheres. Signal processing techniques will be employed to identify ECG characteristic feature points and then machine learning will be applied to classify the signal into healthy or classes of irregular ECG beats. The proposed techniques are intended to conveniently assist monitoring the heart functionality in conditions such as aerospace environments.
