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Smart management of epilepsy disease: review article
المؤلفون المشاركون
al-Imam, Mahi Ibrahim al-Sayyid
al-Jamal, Amani Fawzi
al-minshawi, Ibrahim al-Sayyid Hasan
Muhammad, Hanan al-Rifai Abd al-Qadir
المصدر
Research Journal Specific of Education
العدد
المجلد 2023، العدد 75 (31 مايو/أيار 2023)
الناشر
جامعة المنصورة كلية التربية النوعية
تاريخ النشر
2023-05-31
دولة النشر
مصر
التخصصات الرئيسية
الموضوعات
الملخص EN
People nowadays face numerous types of stress in their fast-paced everyday lives, and the majority of the world's population suffers from various neurological disorders.
epilepsy affects approximately 65 million people worldwide and is associated with increased rates of bodily injuries and mortality when not optimally treated.
also educational institutions include some of the students who are likely to have epilepsy, and for fear of exposing them to epileptic seizures in front of their colleagues, we identify and detect the symptoms to anticipate the seizure before it occurs.
because of the high incidence and harm caused by seizure control failure, it is important to understand the characteristics of epilepsy in order to give an appropriate response for each patient.
as a result, epilepsy prediction and early diagnosis are required to give timely preventative measures that allow patients to be free of the detrimental repercussions of epileptic seizures.
manual analysis of EEG brain signals for epilepsy detection is a time-consuming and difficult procedure that places a tremendous strain on neurologists.
as a result, several automatic approaches based on artificial intelligence have been developed to aid neurologists in epilepsy detection.
the use of artificial intelligence in the diagnosis of epilepsy and predicts epileptic seizures provides an asset to the medical college students and the less experienced doctors in interpreting the EEG and reduces the diagnostics time.
the current study aims to summarize the most recent updates on epilepsy definitions, kinds, diagnosis, seizure and artificial intelligence role in its detection.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
al-Imam, Mahi Ibrahim al-Sayyid& al-Jamal, Amani Fawzi& al-minshawi, Ibrahim al-Sayyid Hasan& Muhammad, Hanan al-Rifai Abd al-Qadir. 2023. Smart management of epilepsy disease: review article. Research Journal Specific of Education،Vol. 2023, no. 75.
https://search.emarefa.net/detail/BIM-1514199
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
al-Imam, Mahi Ibrahim al-Sayyid…[et al.]. Smart management of epilepsy disease: review article. Research Journal Specific of Education No. 75 (May. 2023).
https://search.emarefa.net/detail/BIM-1514199
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
al-Imam, Mahi Ibrahim al-Sayyid& al-Jamal, Amani Fawzi& al-minshawi, Ibrahim al-Sayyid Hasan& Muhammad, Hanan al-Rifai Abd al-Qadir. Smart management of epilepsy disease: review article. Research Journal Specific of Education. 2023. Vol. 2023, no. 75.
https://search.emarefa.net/detail/BIM-1514199
نوع البيانات
مقالات
لغة النص
الإنجليزية
رقم السجل
BIM-1514199
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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