توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقاله‌های نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده می‌شوند.
۱Can Linear Posturographic Measures Discriminate Healthy Subjects from CVA Patients during Quiet Standing?
نویسنده(ها): ، ،
اطلاعات انتشار: پانزدهمین کنفرانس مهندسی پزشکی ایران، سال
تعداد صفحات: ۷
In this study variability in postural sway during quiet standing is investigated. Single–subject (SS) analysisis used as the analytical technique to study and interpretation of postural control during quiet standing. COPtrajectories of 21 trials of standing healthy subject and 24 trials of a cerebrovascular attacked (CVA) patient areconsidered in our analysis. Capabilities of time domain and frequency domain measures for quantifying posturalcontrol and discriminating healthy subject from patient are investigated. The results show that traditional time domainlinear measures as well as frequency domain measures originated from cumulative power spectral density candiscriminate healthy subject from patient one.<\div>

۲Analysis of Complexity Features of Dermatological Images, Effective Tool for Automated Diagnosis of Melanoma
نویسنده(ها): ،
اطلاعات انتشار: هجدهمین کنفرانس مهندسی پزشکی ایران، سال
تعداد صفحات: ۵
In recent years, several diagnostic methods have been proposed aiming at early detection of malignantmelanoma tumour which is among the most frequent types of skin cancer. In this paper we discuss a new approach based on complexity analysis for classification of pigmented skin lesions using dermatological images. Features that describe the structure and colour of lesions, and show high discriminative characteristics are extracted using Approximate Entropy and the novel approach GeoEntropy. These features are used to construct a classification module based on support vector machines (SVM) for recognition of malignant melanoma from benign nevus. Experimental results showed that combination of proposed nonlinear features led to a classification accuracy of94%.<\div>
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