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Background: Epileptic seizures are manifestation of epilepsy. Understanding of the mechanisms causing epileptic disorder needs careful analyses of the electroencephalograph (EEG) records. The detection of epileptic form discharges (spike wave) in the EEG is an important component in the diagnosis of epilepsy. Approximately one in every 100 persons will experience a seizure at some time in their life. Already intelligence spike detection method discucsed but purpose of this research is diagnosis of different kind of epilepsy (grandmal and Petitmal) by design of an intelligence diagnosis processing. Methods and Materials: In this descriptive study, 100 EEG signals of brain hemispheres from different person in healthy, interictal and ictal conditions were used. Fifty Hz noise and artifact signals were removed by soft ware procedure then signals separated by expert neurologist to three categories, healthy (frequency band 8-12 Hz), petitmal seizures (typical 3 Hz), grandmal seizures (clonic stage with 4 Hz frequency) and divided each of them to 6 seconds segments. Information of this signals (background alpha, spike and slow, poly spike and poly sharp) were extracted by wavelet transform and classified by soft ware procedure neural network to there groups healthy, ptitmal and grandmal epilepsy. Results: In designed software accuracy of diagnosis ptitmal and grandmal epilepsies was obtained about 80% Conclusion: This method introduced intelligent diagnosis of epilepsy (ptitmal and gradmal) and automatically detected healthy person from epileptic patients. One of the other advantages is help to neurologist for detection of sickness clearly and expendable different kinds of other epilepsy

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Background: Hospital wastewater usually contains pathogenic micro-organisms, drugs, radio active materials, and toxic chemical elements that in case of being disposed without filtration, will result in pollution and spread of diseases. Therefore, evaluating the status of wastewater disposal in hospitals is necessary for proper planning. Materials and Methods: In a cross-sectional descriptive study in 2008, data collection was done by means of interviews, observations, and questionnaires in all hospitals of Markazi Province. Noticing the 33 items in the questionnaire, the overall conditions of the hospitals and the methods of using the sewage system were studied, and at the same time, filtration installations and wastewater disposal systems were inspected. Results: Of all the 19 hospitals, 10 used a conventional method of direct disposal of sewage to subterranean shafts, and of the 4 hospitals with filtration installations, three were practically out of order or were not efficient. Five of the hospitals were directly linked to the city sewage system without any pre-filtration. None of the hospitals had a specialized operator of sewage filtration and disposal system. Conclusion: Wastewater disposal in hospitals of Markazi Province is not desirable therefore, such acts as conducting more specific surveys, creating a positive attitude in planners, and providing sufficient funds for filtering wastewater in some of the hospitals are suggested.

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Background: Migraine is one of the prevalent disabling disorders. Considering geographical differences in reported epidemiology and improving patients care, the aim of the present study was to evaluate epidemiologic, demographic and clinical characteristics in patients with migraine headache in Arak.

Materials and Methods: This cross sectional and descriptive study was conducted on patients with migraine headache referred to the neurology clinics of Vali-Asr and Imam Reza hospitals of Arak for 6 months. A questionnaire containing the demographic, epidemiologic and clinical data was filled by patients.  Finally, data were analyzed using SPSS 18.

Results: Among 820 patients with headache, 92 (11.21%) subjects were confirmed to have migraine headaches. Of the 92 patients, 54.3% were women and 45.6% were men. The mean age was 36.9±9.2 years old and 50% were married. The most common migraine triggers were stress (78.2%), sleep disturbances (65.2%), and fatigue (63%). The mean frequency of headaches was 6.9±3.5 attacks per month with an average duration of 11.1±4.5 hours per attack.

Conclusion: According to our results, the prevalence of migraine in women is more than in men. Dizziness, visual disturbances, nausea, no aura, headache is one-sided and pulsating are significantly accompanied by migraine. The number of consumed sedative pills in the month, brain imaging and a monthly fee of headache were significant. In total, clinical characteristics of migraine headaches in our patients were nearly compatible with the International Headache Society (IHS) criteria.