Artificial Organs
Erfan Nammakie; Hanieh Niroomand Oscuii; Farzan Ghalichi; Mojtaba Koochaki
Volume 9, Issue 2 , July 2015, , Pages 133-142
Abstract
Myocardial diseases are on the rise all over the world and due to lack of sufficient donors, heart transplants are not the perfect solutions to treat all patients with heart failure. Therefore, in recent years, blood pumps have received a worldwide admissibility and have become the unrivalled tools for ...
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Myocardial diseases are on the rise all over the world and due to lack of sufficient donors, heart transplants are not the perfect solutions to treat all patients with heart failure. Therefore, in recent years, blood pumps have received a worldwide admissibility and have become the unrivalled tools for replacing a failed heart. In addition to biological needs such as sufficient head and flow rate, an assist blood pump should be in an acceptable margin of safety in terms of blood injuries such as hemolysis and thrombosis. Reducing blood damages, minimizing dimensions, reducing exposure time and simulating blood flow of natural heart are amongst the greatest challenges in designing assist blood pumps. One of the most important factors in determining the amount of blood injuries inside the pump is the blades’ shape of different parts of the pump. Studies have been conducted about heart pumps show that it is feasible to increase the efficiency of the pump and reduce the stagnation points that lead tothrombus formation by changing the type of blades of the impeller. The purpose of this study is to compare the performance of several airfoils for the blades of the impeller of an assist heart pump in order to optimize the performance and efficiency of the pump and reduce blood damages.
Biomedical Signal Processing / Medical Signal Processing / Biosignal Processing
Afarin Nazemi; Ali Maleki
Volume 8, Issue 4 , February 2015, , Pages 411-420
Abstract
Classification of distal limb movements based on surface electromyography (sEMG) of proximal muscles is an important issue in the control of myoelectric hand prosthesis. In most of previous studies, classification of a limited number of hand motions is investigated. In this paper, we have used NINAPRO ...
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Classification of distal limb movements based on surface electromyography (sEMG) of proximal muscles is an important issue in the control of myoelectric hand prosthesis. In most of previous studies, classification of a limited number of hand motions is investigated. In this paper, we have used NINAPRO database containing kinematics and sEMG of upper limbs while performing 52 finger, hand and wrist movements. We evaluated performance of LDA and LS-SVM with RBF kernel classifiers using different combination of features. First by windowing the signal with two different methods, the major part of the signal was selected and eight various temporal features (MAV, IAV, RMS, WL, E, ER1, ER2, CC) were extracted. Then performance of each classifier with single, double and multiple combinations of features was evaluated. For LDA classifier, the best average classification accuracy of 84.23% was achived for first windowing method and MAV (or IAV)+CC features, The corresponding accuracy for LS-SVM classifier with second windowing method and IAV+MAV+RMS+WL features, was 85.19%.
