ECG Features and Methods for Automatic Classification of Ventricular Premature and Ischemic Heartbeats: A Comprehensive Experimental Study

Accurate detection of cardiac pathological events is an important part of electrocardiogram (ECG) evaluation and subsequent correct treatment of the patient. The paper introduces the results of a complex study, where various aspects of automatic classification of various heartbeat types have been addressed. Particularly, non-ischemic, ischemic (of two different grades) and subsequent ventricular premature beats were classified in this combination for the first time. ECGs recorded in rabbit isolated hearts under non-ischemic and ischemic conditions were used for analysis. Various morphological and spectral features (both commonly used and newly proposed) as well as classification models were tested on the same data set. It was found that: a) morphological features are generally more suitable than spectral ones; b) successful results (accuracy up to 98.3% and 96.2% for morphological and spectral features, respectively) can be achieved using features calculated without time-consuming delineation of QRS-T segment; c) use of reduced number of features (3 to 14 features) for model training allows achieving similar or even better performance as compared to the whole feature sets (10 to 29 features); d) k-nearest neighbours and support vector machine seem to be the most appropriate models (accuracy up to 98.6% and 93.5%, respectively).

Read full text

ECG Processing & Analysis

Follow Us

Get the latest news about our teaching and learning activities or get excited about scientific discoveries in biomedical engineering.

Partner With Us

We are committed to promote collaboration across biomedical disciplines creating mutual benefits with companies and research organizations. Explore opportunities to engage with our research teams, or find out more about our current research partners.

Giving

Donate to support research and education that translates into improved healthcare and people’s wellbeing. With a number of giving options, you can support the area you care about most. Gifts of any size help expand our positive impact throughout the society.