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  6. Novel ECG Language Processing for Detection and Prediction of Cardiac Events

Novel ECG Language Processing for Detection and Prediction of Cardiac Events

Description

ECG is the most common signal used by physicians and cardiologists to monitor the functionality of the heart. Manual analysis of ECG signals by a human is a very challenging and time-consuming task due to dealing with long ECG recordings and the existence of complex patterns associated with different heart arrhythmia in the ECG signal.

This disclosure provides a new avenue for ECG signal analysis by introducing a novel framework called ECG language processing (ELP). This framework is applicable to various biomedical applications and can improve the performance of the shallow machine learning algorithms.

Additional information

Patent number and inventors

17/343,499

Fatemeh Afghah and Seyed Sajad Mousavi.

Potential applications

One application focuses on detecting key ECG signals for detecting heart abnormalities.

Benefits and advantages

This ECG language processing method can aid computers to gain a deeper understanding of electrocardiogram signals.

Case number and licensing status

2020-035

This invention is available for licensing.