SAARTHI : Real-Time Monitoring of Patients by Wearable Device

R. Priya, A. Vaidya, Mohit Thorat, Vinit Motwani, Chetas Shinde
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引用次数: 3

Abstract

The proposal comprises using cutting edge technology of Internet of Things (IoT), Cloud and AI-based analytics to monitor and provide timely and proactive alerts to not only patients but also healthcare workers such as doctors, nursing homes and even remotely located family members about patient’s critical health parameters. The measured raw data will record live location and calculate heart rate, pulse, temperature and detect fall through wireless devices and connect to cloud servers. Also, this data will then be merged with the patient’s historical medical data and analyzed using machine learning techniques for disease prediction at an early stage. It helps the family members and health workers to monitor and manage the health parameters of patients in an efficient way.
SAARTHI:可穿戴设备对患者的实时监测
该提案包括使用物联网(IoT),云和基于人工智能的分析的尖端技术来监测并向患者以及医生,疗养院甚至远程家庭成员等医护人员提供及时和主动的警报,以了解患者的关键健康参数。测量的原始数据将记录现场位置,计算心率、脉搏、温度,并通过无线设备检测跌倒,并连接到云服务器。此外,这些数据将与患者的历史医疗数据合并,并使用机器学习技术进行分析,以便在早期阶段进行疾病预测。它有助于家庭成员和卫生工作者以有效的方式监测和管理患者的健康参数。
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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