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首页> 外文期刊>International Journal of Computer Trends and Technology >A Proposed System for Seizure Prediction and Classification Using Affective Technology
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A Proposed System for Seizure Prediction and Classification Using Affective Technology

机译:使用情感技术抓取预测和分类的建议系统

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摘要

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.
机译:癫痫是一种神经系统问题,它被突然和不规则的癫痫发作所描述。正如世界卫生组织(世卫组织)所表明的,大约1%的民众是癫痫患者。由于患者日常活动的障碍,癫痫发作的突然性质构成了疾病的主要禁用方面。因此,可以推测癫痫发作事件的方法本质上可以改善癫痫患者的福祉。因此,本文的重点是建立一种可以预测癫痫发作的模型,并且还使用GSR传感器,温度传感器以及脉冲速率传感器来表征它们。

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