IOT Based Stroke Rehabilitation Monitoring System

S. Arjunan, Sriram Priyadharshan, V. Kumar
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Abstract

Stroke is a perplexing and lethal neurological condition and is the second leading cause of death worldwide. One of the severe repercussions induced by stroke is hemi paresis. It causes weakness or loss of function on one side of the body. It can be challenging to live with such a disability as it hinders normal day-to-day activities. It takes a multidisciplinary team of physicians, psychiatrists, and caretakers to treat patients suffering from this disorder. Therefore, it is of the utmost importance to constantly monitor and treat the patients to improve their chances of recovery. This process can be complicated due to patient safety concerns during a pandemic such as covid 19. It increases the risk as it increases the possibility of another stroke attack. It also decreases the treatment’s effectiveness as physical contact between doctor and patients has been reduced to ensure safety from covid 19. In our work, we developed a remote IoT-based stroke monitoring system that measures the patient’s movement. This data is then sent to the cloud servers, where the concerned medical professionals can remotely access them to analyze and monitor the patient’s progress.
基于物联网的脑卒中康复监测系统
中风是一种令人困惑和致命的神经系统疾病,是全球第二大死亡原因。中风引起的严重后果之一是半麻痹。它会导致身体一侧的虚弱或功能丧失。带着这样的残疾生活是很有挑战性的,因为它妨碍了正常的日常活动。它需要一个由医生、精神科医生和护理人员组成的多学科团队来治疗患有这种疾病的患者。因此,对患者进行持续的监测和治疗,以提高其康复的机会是至关重要的。由于在covid - 19等大流行期间对患者安全的担忧,这一过程可能会很复杂。它增加了风险,因为它增加了另一次中风发作的可能性。为了确保安全,减少了医患之间的身体接触,也降低了治疗的效果。在我们的工作中,我们开发了一种基于物联网的远程中风监测系统,可以测量患者的运动。然后,这些数据被发送到云服务器,相关的医疗专业人员可以远程访问这些数据,以分析和监控患者的病情进展。
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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