Bahram Naghibzadeh

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This research is on presenting a new approach for cardiac arrhythmia disease classification. The proposed method combines both Support Vector Machine (SVM) and Genetic Algorithm approaches. First, twenty two features from electrocardiogram signal are extracted. These features are obtained semiautomatically from time-voltage of R, S, T, P, Q features of an(More)
In this paper, a new method of arrhythmia classification is proposed. At first we extract twenty two features from electrocardiogram signal. We propose a novel classification system based on genetic algorithm to improve the generalization performance of the SVM classifier. For this purpose, we have optimized the SVM classifier design by searching for the(More)
Involvement of personality traits in susceptibility to suicidal behaviour has attracted considerable research interest over the past decades. This study was motivated by reports that emotionality may play a potentially confounding role in the association between the personality profile and suicidal behaviour. We assessed the association between personality(More)
Mutations in hepatocyte nuclear factor-1 alpha (HNF1A) as a homeodomain transcription factor which regulates variety of genes, are the most common cause of maturity-onset diabetes of the young (MODY). Detection of HNF1A mutations not only classifies the subtype, but also predicts the likely clinical course and may alters the method of treatment from insulin(More)
BACKGROUND In lupus nephritis (LN), deposition of pathogenic autoantibodies in the glomeruli is mediated via cross-reactivity with alpha-actinin. Association of serum alpha-actinin antibody (AαA) with LN has been shown in a few studies but the results are controversial. METHODS Eighty patients into entered the study. The diagnosis of SLE was confirmed(More)
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