This paper investigates the use of Higher Order Spectra parameters to identify the most
common multiple cardiac arrhythmias. In detail, we calculated magnitude of bispectrum …

Simultaneously recorded electroencephalogram (EEG) and functional magnetic resonance
imaging (fMRI) is rapidly emerging as a powerful neurophysiological research and clinical …

A novel scheme for real time detection of ischemic features from long term
electrocardiograms (ECG), based on the dilated discrete Hermite expansion is proposed …

Ischemic heart disease is one of the main common causes of death and an
electrocardiogram (ECG) is used in the investigation of the heart disease. A method of real …

Abstract n this chapter, a new concept learning-based approach is presented for abnormal
ECG beat detection to facilitate long-term monitoring of heart patients. The novelty in our …

A real-time automated identification technique is developed for the detection of ischemic
episodes in long term electrocardiographic (ECG) signals using mathematical expansions …

Electroencephalogram (EEG) signals, when recorded within the strong magnetic field of an
MR scanner, are subject to various artifacts, of which the ballistocardiogram (BCG) is one of …

An important driving force in the human circulatory system is the heart. The electrical activity
of the heart can be recorded as P, Q, R, S and T waves that constitute an electrocardiogram …

Abstract Coronary Artery Disease (CAD) and Obstructive Sleep Apnea (OSA) are both
complex and significant clinical problems. The pathophysiological mechanisms that …

In this chapter, a new concept learning-based approach is presented for abnormal ECG beat
detection to facilitate long-term monitoring of heart patients. The novelty in our approach is …