What is it about?
Electrocardiograph (ECG) is used for dignosis of Cardiovascular Diseases (CVDs). Due to the high volume of data, wide morphological variations in ECG it is computationally intensive to diagnose precise CVDs using machine learning algorithms. We ave proposed methods for accomplishing CVD diagnosis on low computational devices such as mobile phones.
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Why is it important?
Providing CVD diagnosis on mobile phones eliminates location, time and privacy constraints in providing healthcare diagnostic services.
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This page is a summary of: m-CADE: A mobile based cardiovascular abnormality detection engine using efficient multi-domain feature combinations, Intelligent Data Analysis, April 2016, IOS Press,
DOI: 10.3233/ida-160821.
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