Electrocardiographic abnormalities associated with cocaine use often occur in the setting of concurrent drug use and/or metabolic derangements that may contribute to the findings observed.

The electrocardiographic findings associated with cocaine use in humans are highly varied. Much of the literature to date consists of observational studies, small controlled studies and case ...

The best innovation on this watch has to be the sensor on the right, which combines ECG, pressure sensitivity and photoplethysmography (PPG).

To resolve the multi-label ECG signal classification problems, we propose a novel ensemble multi-label classification model in this paper. The model combines several multi-label classification methods ...

Electrocardiogram (ECG) signal is used recent days to identify the abnormalities related to heart beat of human and to identify the functionality of cardiovascular system. Now a days this ECG signal ...

Heartbeat is a research project focused on classifying heartbeats using ECG (electrocardiogram) data. Within the scope of this project, both conventional and state-of-the-art models from the ...

Sleep Apnea Classification using Deep Learning on ECG Signals This repository contains the implementation and results of my Master's thesis: "Sleep Apnea Classification using Deep Learning Algorithm" ...