Wearable detection systems for epileptic seizure : a review

العناوين الأخرى

استعراض أنظمة الكشف القابلة للارتداء لنوبات الصرع

المؤلفون المشاركون

Murad, Amir Husayn
al-Wandawi, Ala Fikrat
Ucan, Usman Nuri

المصدر

al-Khwarizmi Engineering Journal

العدد

المجلد 16، العدد 2 (30 يونيو/حزيران 2020)، ص ص. 1-13، 13ص.

الناشر

جامعة بغداد كلية هندسة الخوارزمي

تاريخ النشر

2020-06-30

دولة النشر

العراق

عدد الصفحات

13

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الملخص EN

The seizure epilepsy is risky because it happens randomly and leads to death in some cases.

The standard epileptic seizures monitoring system involves video/EEG (electro-encephalography), which bothers the patient, as EEG electrodes are attached to the patient’s head.

Seriously, helping or alerting the patient before the seizure is one of the issue that attracts the researchers and designers attention.

So that there are spectrums of portable seizure detection systems available in markets which are based on non-EEG signal.

The aim of this article is to provide a literature survey for the latest articles that cover many issues in the field of designing portable real-time seizure detection that includes the use of multiple body signals, new algorithm methods, and detection devices that are commercially available.

As a result, the reviewing process shows that there are many research articles that have covered wearable seizure detection systems that based on body signals.

The more effective monitoring and detection seizure system is the system that uses multi-body signals, is highly comfortable and has low power consumption.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

al-Wandawi, Ala Fikrat& Ucan, Usman Nuri& Murad, Amir Husayn. 2020. Wearable detection systems for epileptic seizure : a review. al-Khwarizmi Engineering Journal،Vol. 16, no. 2, pp.1-13.
https://search.emarefa.net/detail/BIM-969889

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

al-Wandawi, Ala Fikrat…[et al.]. Wearable detection systems for epileptic seizure : a review. al-Khwarizmi Engineering Journal Vol. 16, no. 2 (Jun. 2020), pp.1-13.
https://search.emarefa.net/detail/BIM-969889

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

al-Wandawi, Ala Fikrat& Ucan, Usman Nuri& Murad, Amir Husayn. Wearable detection systems for epileptic seizure : a review. al-Khwarizmi Engineering Journal. 2020. Vol. 16, no. 2, pp.1-13.
https://search.emarefa.net/detail/BIM-969889

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references : p. 9-12

رقم السجل

BIM-969889