Morteza Zabihi

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This paper presents a novel systematic approach for patient-specific classification of long-term Electroencephalography (EEG). The goal is to extract the seizure sections with a high accuracy to ease the Neurologist's burden of inspecting such long-term EEG data. We aim to achieve this using the minimum feedback from the Neurologist. To accomplish this, we(More)
According to expanding the use of wireless communication technology in transmitting critical data the importance of privacy and security of data are irrevocable. Numerous data encryption algorithms are being done currently. Predetermined fixed key with least 128 bits is being used by most of these algorithms. Considering that vital signals are periodic and(More)
Phonocardiogram (PCG) signal is used as a diagnostic test in ambulatory monitoring in order to evaluate the heart hemodynamic status and to detect a cardiovascular disease. The objective of this study is to develop an automatic classification method for anomaly (normal vs. abnormal) and quality (good vs. bad) detection of PCG recordings without(More)
Breast cancer is one of the most common fatal diseases in women. Early detection of malignant breast cancer could be a great help in treating this cancer. Many studies have been performed in order to detect the malignant of cancer tumor till now. It has been tried to contribute more in accurate diagnosis of breast cancer by Support Vector Machine, in this(More)
There is an essential need to provide a solution to reduce the elder care expenses according to growth in ratio of elderly population in the world and the high cost of health care services that are offered for each elderly person. Tele-homecare is one of the most appropriate solutions for this issue. The importance and necessity to provide a new approach(More)
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