Improving the efficiency of healthcare systems is a top national interest worldwide. However,
the need to deliver scalable healthcare services to patients while reducing costs is a …

Electrocardiogram (ECG) gives essential information about different cardiac conditions of
the human heart. Its analysis has been the main objective among the research community to …

Detecting anomalous subsequences in time series data is an important task in areas
ranging from manufacturing processes over finance applications to health care monitoring …

Over the past few decades, methods for classification and detection of rhythm or morphology
abnormalities in ECG signals have been widely studied. However, it lacks the …

Myocardial infarction is a common cardiovascular disorder caused by prolonged ischemia,
and early diagnosis of myocardial infarction (MI) is critical for lifesaving. ECG is a simple and …

Myocardial infarction (MI) is also called the heart attack, and it results in the death of heart
muscle cells due to the lacking in the supply of oxygen and other nutrients. The early and …

The electrocardiogram (ECG) is a non-invasive, inexpensive, and effective tool for
myocardial infarction (MI) diagnosis. Conventional detection algorithms require solid domain …

Interrupted blood flow to regions of the heart causes damage to heart muscles, resulting in
myocardial infarction (MI). MI is a major source of death worldwide. Accurate and timely …

Myocardial infarction (MI) is a heart condition arising due to partial or complete blockage of
blood flow to heart muscles. This can lead to permanent damage to the heart and can be …

Detecting anomalous subsequences in time series is an important task in time series
analytics because it serves the identification of special events, such as production faults …