Smart Wake-up Stroke Alert System

Lakshmi Boppana, Bharat Kumar Kuppuru, Krishna Karthik Nerella, Sharmila Kovvada
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Abstract

Wake-up stroke refers to a kind of ischemic stroke where a person wakes up with symptoms of stroke that are not present before going to sleep. These symptoms may include muscle weakness, drowsiness, walking difficulties, face drooping among others. Risk factors for ischemic strokes are Diabetes, Hypertension, Obesity, age, tobacco use, etc. From the Statistical Findings, 8-28 percent of all brain ischemic strokes consist of Wake-up strokes. The main method of treating an ischemic stroke is tissue Plasminogen Activator (tPA), the use of which is approved for 3-4.5 hours from the onset time of stroke. As the onset time in wake-up strokes is difficult to determine, the person may not be eligible for tPA treatment. This paper presents the development of a prototype to detect the wake-up stroke using the appropriate sensors to obtain physiological data and Internet of things technology to issue an alert signal to the concerned people of the patient. In India, various factors causes the delay of the patient’s arrival to the hospital. The proposed device helps the people to take the patient to the hospital within time to reduce the risk of permanent disabilities like paralysis and memory loss.
智能唤醒中风警报系统
唤醒性中风是指一种缺血性中风,当一个人醒来时,中风的症状在睡觉前并不存在。这些症状可能包括肌肉无力、困倦、行走困难、面部下垂等。缺血性中风的危险因素有糖尿病、高血压、肥胖、年龄、吸烟等。从统计结果来看,8- 28%的脑缺血性中风由唤醒性中风组成。治疗缺血性中风的主要方法是组织型纤溶酶原激活剂(tPA),批准在中风发病后3-4.5小时内使用。由于醒脑卒中的发病时间难以确定,患者可能不适合tPA治疗。本文介绍了一种利用适当的传感器获取生理数据并利用物联网技术向患者相关人员发出警报信号的唤醒脑卒中检测样机的开发。在印度,各种因素导致病人延迟到达医院。该装置可以帮助人们及时将患者送往医院,从而降低瘫痪和失忆等永久性残疾的风险。
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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