A Hybrid Connectivity Oriented Telemedician System For Indian Landscape Using Raspberry Pi SBC & IOT

H. Bhojwani, Gaurav Kumar Sain, Girraj Sharma
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引用次数: 4

Abstract

The proposed system is based on Raspberry Pi Single board computer system. This system is designed to connect to any type of network such as GPRS, LAN, Wi-Fi for telemedicine. This system will serve as communication backbone for telemedicine implementation in rural India. Recently, remote healthcare systems have received increasing attention in the last decade, explaining why intelligent systems with physiology signal monitoring for e-health care are an emerging area of development. Therefore, this work adopts a system which includes continuous collection and evaluation of multiple vital signs, long-term healthcare, and a cellular connection to a medical center in emergency case and it transfers all acquired raw data by the internet in normal case. The proposed system can continuously acquire four different physiological signs, for example, ECG, SpO2, temperature, and blood pressure and further relayed them to an intelligent data analysis. The proposed system also has a friendly web-based interface for medical staff to observe immediate pulse signals for remote treatment. Once abnormal event happened or the request to real-time display vital signs is confirmed, all physiological signs will be immediately transmitted to remote medical server through both cellular networks and internet. Also data can be transmitted to a family member's mobile phone or doctor's phone through GPRS. A prototype of such system has been successfully developed and implemented, which will offer high standard of healthcare with a major reduction in cost for our society. By using this system doctors are easily communicate with high experience and forensic people.
使用树莓派SBC和物联网的印度景观混合连接面向远程医疗系统
本系统基于树莓派单板计算机系统。该系统可连接GPRS、LAN、Wi-Fi等任何类型的网络,用于远程医疗。该系统将作为印度农村远程医疗实施的通信骨干。最近,远程医疗保健系统在过去十年中受到越来越多的关注,这解释了为什么具有生理信号监测的电子医疗保健智能系统是一个新兴的发展领域。因此,本工作采用的系统包括连续收集和评估多个生命体征,长期医疗保健,在紧急情况下与医疗中心进行蜂窝连接,在正常情况下通过互联网传输所有获取的原始数据。该系统可以连续采集ECG、SpO2、体温、血压等四种不同的生理指标,并将其传递给智能数据分析系统。该系统还具有一个友好的基于网络的界面,供医务人员观察即时脉搏信号以进行远程治疗。一旦发生异常事件或确认实时显示生命体征的请求,所有生理体征将立即通过蜂窝网络和互联网传输到远程医疗服务器。数据也可以通过GPRS传输到家庭成员的手机或医生的手机上。该系统的原型已成功开发并实施,将为我们的社会提供高水平的医疗保健,并大大降低成本。通过使用该系统,医生可以轻松地与高经验和法医人员进行沟通。
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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