Ziad Sankari

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OBJECTIVES This paper presents a comprehensive EEG study for interhemispheric, intrahemispheric, and distal coherence in Alzheimer's disease (AD) patients. The objective is to glean new insights into the brain of AD patients. METHODS EEGs are obtained from 20 AD-probable patients and 7 healthy (control) subjects. Pair-wise electrode coherence is(More)
Recently, the authors presented an EEG (electroencephalogram) coherence study of the Alzheimer's disease (AD) and found statistically significant differences between AD and control groups. In this paper a probabilistic neural network (PNN) model is presented for classification of AD and healthy controls using features extracted in coherence and wavelet(More)
This article presents a wavelet coherence investigation of electroencephalograph (EEG) readings acquired from patients with Alzheimer disease (AD)  and healthy controls. Pairwise electrode wavelet coherence is calculated over each frequency band (delta, theta, alpha, and beta). For comparing the synchronization fraction of 2 EEG signals, a wavelet coherence(More)
A mobile medical device, dubbed HeartSaver, is developed for real-time monitoring of a patient's electrocardiogram (ECG) and automatic detection of several cardiac pathologies, including atrial fibrillation, myocardial infarction and atrio-ventricular block. HeartSaver is based on adroit integration of four different modern technologies: electronics,(More)
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