Analytical Study of Supratentorial Meningioma

This study included 96 meningiomas treated between the years of 1999 and 2003 . The age of patients was between 18-80 years ,with a mean age of 49.16 years. Females constituted 65.6% of the patients ,while males constituted 34.4%. Large percent of cases was between 4th to 6th decade of age, ( 56, 2% of all patients). Signs of raised intracranial pressure dominated the clinical picture presenting in 62% of patients, while epilepsy was the only symptom in 15% of the patients . MRI was performed in 81% of patients. The other patients were diagnosed by CT scan. Tumors were hemispheral in 74% of patients. The operating microscope and ultrasonic aspirator were used in 85% of cases.15% of tumors were removed using the classical methods, Total removal was achieved in 90% of cases. Clinical improvement was seen in 60.45 of cases while deterioration was seen in only 5.2% of cases. Complications included cerebral edema in five patients, and tumor recurrence in 5.2% of cases. Tumors were benign in 88%.Mortality was 2%.

Using DWT and ANN. for the Automated Detection of Epileptic Seizures in Scalp EEG

Epilepsy is a chronic neurological disorder that occurs in the brain، and affects approximately 2% of people around the world، where epilepsy patients face a lot of difficulties in everyday life due to the occurrence of seizures. Electroencephalogram (EEG) is used in the automated detection of epileptic seizures، which has Characteristics of non-linear and non-stationary. In this research، we conducted automated detection of the seizures from the scalp EEG signals using a Level 5 Discrete Wavelet Transforms DWT to analyze the signal and extracting statistical features (maximum، minimum، mean، average ، standard deviation، the ratio between the mean values) and Categorizing using artificial neural networks ANN for classification. The suggested detection method has 89.85% detection accuracy with 90.60% sensitivity ، and 89.1% specificity.