An Effective Deep Learning Model for Automated Detection of Myocardial Infarction Based on Ultrashort-Term Heart Rate Variability Analysis

Myocardial infarction (MI), usually termed as heart attack, is one of the main cardiovascular diseases that occur due to the blockage of coronary arteries. This blockage reduces the blood supply to heart muscles, and a prolonged deficiency of blood supply causes the death of heart muscles leading to...

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Veröffentlicht in:	Mathematical problems in engineering 2021, Vol.2021, p.1-13
Hauptverfasser:	Shahnawaz, Muhammad Bilal, Dawood, Hassan
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Arteries Artificial neural networks Blood Cardiovascular disease Classification Computation Deep learning Electrocardiography Heart attacks Heart rate Inspection Investigations Learning theory Machine learning Mathematical models Mathematical problems Morphology Muscles Myocardial infarction Parameters Performance evaluation Power spectral density Sensitivity Support vector machines Time domain analysis Variability Wearable technology
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