A Proposed System for Seizure Prediction and Classification Using Affective Technology
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© 2020 by IJCTT Journal
Volume-68 Issue-5
Year of Publication : 2020
Authors : O. O Obe, O. A Ayeni, F. F Kayode
DOI :  10.14445/22312803/IJTT-V68I5P113

How to Cite?

O. O Obe, O. A Ayeni, F. F Kayode, "A Proposed System for Seizure Prediction and Classification Using Affective Technology," International Journal of Computer Trends and Technology, vol. 68, no. 5, pp. 60-65, 2020. Crossref, https://doi.org/10.14445/22312803/IJCTT-V68I5P113

Abstract
Epilepsy is a neurological issue that is described by abrupt and irregular seizures. As indicated by the World Health Organisation (WHO) roughly 1% of the total populace are epileptic patients. The abrupt nature of epileptic seizures constitutes a major disabling aspect of the ailment, due to the impediments in patients’ daily activities. Therefore, a method that can speculate the event of seizures could essentially improve the wellbeing of epileptic patients. Hence the point of this paper is to build up a model that can anticipate seizures and furthermore characterize them, using a GSR sensor, Temperature sensor and also a Pulse rate sensor.

By constantly refining the vocabulary of entities in that industry with a staunch focus on compliance attributes a powerful/flexible rule engine could be built to operate on the incoming events.

Keywords
Epilepsy, seizures, affective computing, prediction, classification

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