Ahmet AlkanYasar Guneri SahinBekir Karlik2025-10-0620069789819698936, 9789819698042, 9789819698110, 9789819698905, 9789819512324, 9783032026019, 9783032008909, 9783031915802, 9789819698141, 978303198413616113349, 0302974310.1007/11941439_99https://www.scopus.com/inward/record.uri?eid=2-s2.0-84880922605&doi=10.1007%2F11941439_99&partnerID=40&md5=58cc9da63ee3752271c6b63a0cf87199https://gcris.yasar.edu.tr/handle/123456789/10387This paper presents a new design of mobile epilepsy warning system for medical application in telemedical environment. Mobile Epilepsy Warning System (MEWS) consists of a wig with a cap equipped with sensors to get Electroencephalogram (EEG) signals a collector which is used for converting signals to data Global Positioning System (GPS) a Personal Digital Assistant (PDA) which has Global System for Mobile (GSM) module and execute Artificial Neural Network (ANN) software to test current patient EEG data with prelearned data and a calling center for patient assistance or support. The system works as individual sensors obtain EEG signals from patient who has epilepsy and establishes a communication between the patient and Calling Center (CC) in case of an epileptic attack. MEWS learning process has artificial neural network classifier which consists of Multi Layered Perceptron (MLP) neural networks structure and back-propagation training algorithm. © Springer-Verlag Berlin Heidelberg 2006. © 2021 Elsevier B.V. All rights reserved.EnglishElectroencephalography, Global Positioning System, Global System For Mobile Communications, Learning Algorithms, Medical Applications, Neurology, Personal Digital Assistants, Software Testing, Artificial Neural Network Classifiers, Back-propagation Training Algorithms, Electroencephalogram Signals, Global System For Mobiles, Learning Process, Multi-layered Perceptron, Neural Networks Structure, Personal Digital Assistants (pda), Multilayer Neural NetworksElectroencephalography, Global positioning system, Global system for mobile communications, Learning algorithms, Medical applications, Neurology, Personal digital assistants, Software testing, Artificial neural network classifiers, Back-propagation training algorithms, Electroencephalogram signals, Global system for mobiles, Learning process, Multi-layered Perceptron, Neural networks structure, Personal digital assistants (PDA), Multilayer neural networksConference Object