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首页> 外文会议>Institute of Electrical and Electronics Engineers International Conference on Electro/Information Technology >Design flow of wearable heart monitoring and fall detection system using wireless intelligent personal communication node
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Design flow of wearable heart monitoring and fall detection system using wireless intelligent personal communication node

机译：使用无线智能个人通信节点设计可穿戴心脏监测和落下检测系统的设计流程

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Most current remote health monitoring systems provide limited physiological information on the user end. Raw physiological data collected from the on-body sensors are sent to a distant location for data storage and analysis without being analyzed on the user end. In this paper, we present the design flow of a system utilizing the Wireless Intelligent Personal Communication Node (W-iPCN) for analyzing heart activities and detecting sudden fall situations of a remote patient. The W-iPCN is a small, compact and lightweight system which has the ability to process and analyze body sensor data. Furthermore, this system is capable of communicating with other devices through wireless protocols. The purpose of having the W-iPCN for wireless body sensor network system is to provide in-depth biomedical data to the user in real-time. As an example, we emphasize on electrocardiography (ECG), accelerometer and gyroscope data analysis to show the feasibility and capability of the W-iPCN. The ECG sensor data is useful to determine current heart conditions of the user. Accelerometer and gyroscope data are useful to detect sudden collapse events. In this paper, we expand our system design to an Android smartphone to present acquired analyzed sensor data to the user. In addition, the Android smartphone transmits the data to the distant server for data logging and history keeping through the Internet in realtime. Our system targets standard Android smartphone users to be able to install and run our Android application software without requiring expert software knowledge.
机译：大多数当前远程健康监测系统提供有关用户端的有限的生理信息。从体内传感器收集的原始生理数据被发送到远程位置，用于数据存储和分析，而不在用户端分析。在本文中，我们介绍了利用无线智能个人通信节点（W-IPCN）的系统的设计流程，用于分析心脏活动并检测远程患者的突然下降情况。 W-IPCN是一个小型，紧凑轻便的系统，具有处理和分析身体传感器数据的能力。此外，该系统能够通过无线协议与其他设备通信。具有无线体传感器网络系统的W-IPCN的目的是实时向用户提供深入的生物医学数据。作为一个例子，我们强调心电图（ECG），加速度计和陀螺数据分析，以显示W-IPCN的可行性和能力。 ECG传感器数据可用于确定用户的当前心脏条件。加速度计和陀螺数据可用于检测突然的折叠事件。在本文中，我们将系统设计扩展到Android智能手机，以向用户提供获取的分析的传感器数据。此外，Android智能手机将数据传输到远程服务器，以便实时通过Internet进行数据记录和历史记录。我们的系统针对标准的Android智能手机用户，可以安装和运行我们的Android应用软件，而无需专家软件知识。

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