An epileptic sensor network over high speed networks

Mohammad Siraj, S. Umair
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引用次数: 1

Abstract

It has been always a challenging task for the researchers to incorporate information technology advancements in the medical profession. Epilepsy is a neurological disorder which is rampant in 1% of the world population. Epilepsy is a recurrent dysfunctional activity of the brain. An epileptic seizure can occur in epilepsy patients at any time, which can cause physical injury to the patient and may even lead to the patient's death. It is a challenging task for the researchers to infer a pre seizure epilepsy attack. Human-machine interaction is a step towards achieving this goal, but current therapies do not provide a full proof mechanism for real time seizure detection. Present day networks provide an excellent mechanism for the transfer of audio and video at a blazing speed. In this work, we have presented a novel concept of providing an interface between the epileptic patient sensor nodes and the smart phones. The motive behind developing this interface is to sense early and accurately a seizure triggering, create an alarm system for the patient and his doctors and relatives whenever and wherever required, so that through this alarm system no physical injury occurs to the patient.
高速网络上的癫痫病传感器网络
将先进的信息技术应用于医学领域,一直是研究人员面临的一项具有挑战性的任务。癫痫是一种神经系统疾病,占世界人口的1%。癫痫是一种反复发作的大脑功能紊乱。癫痫患者随时可能发生癫痫发作,对患者造成身体伤害,甚至可能导致患者死亡。对于研究人员来说,推断癫痫发作前的发作是一项具有挑战性的任务。人机交互是实现这一目标的一步,但目前的治疗方法并没有提供实时检测癫痫发作的完整证明机制。目前的网络提供了一种极好的机制,以极快的速度传输音频和视频。在这项工作中,我们提出了一个在癫痫患者传感器节点和智能手机之间提供接口的新概念。开发这个接口的动机是为了早期准确地感知癫痫发作的触发,为患者及其医生和亲属创建一个报警系统,无论何时何地需要,通过这个报警系统不会对患者造成身体伤害。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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