This paper presents an effective electrocardiogram (ECG) arrhythmia classification scheme
consisting of a feature reduction method combining principal component analysis (PCA) with …

Heart rate and blood pressure are the most important vital signs in diagnosing disease. Both
heart rate and blood pressure are characterized by a high degree of short term variability …

This paper proposes a novel system to classify three types of electrocardiogram beats,
namely normal beats and two manifestations of heart arrhythmia. This system includes three …

Identification and classification of ventricular arrhythmias such as rhythmic ventricular
tachycardia (VT) and disorganized ventricular fibrillation (VF) are vital tasks in guiding …

To survive in the highly competitive global economy, manufacturing systems must be able to
adapt to new circumstances. An important prerequisite for adaptation is the ability to learn, a …

This paper presents a novel maximum margin clustering method with immune evolution
(IEMMC) for automatic diagnosis of electrocardiogram (ECG) arrhythmias. This diagnostic …

Atherosclerosis in the coronary arteries represents a major medical burden throughout the
world. While the disease may not manifest with symptoms at early stages, the high risk of …

The Arterial Pressure Waveform (APW) can provide essential information about arterial wall
integrity and arterial stiffness. Most of APW analysis frameworks individually process each …

In this paper, we are describing role of knowledge engineering in the development of a
hybrid knowledge based medical information system. Knowledge engineering plays …

BACKGROUND: It has been reported that breech fetuses have inferior neurological
outcomes regardless of mode of delivery, raising the possibility that in utero neurological …