基于Android移动设备的自主远程医疗应用程序

S. Jokic, S. Krco, D. Sakac, I. Jokic, V. Delić
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引用次数: 7

摘要

本文介绍了一种基于Android设备的移动远程医疗应用。通过实时心电分析,以及对嵌入式加速度传感器捕获的加速度数据进行实时分析,扩展了主要应用程序的心电传输功能。本文提出了一种有效的心电和加速度数据分析算法。心电图分析的重点是心律失常检测和病理性ST-T段检测。利用人工神经网络(ANN)对估计的心电模型特征进行心律失常检测。在移动应用中可以定义报警,触发可以发送电子邮件,附带心电图像和excel格式的数据报告。对来自加速度传感器的数据进行分析,以监测用户的行走活动。移动应用程序使用预定义的接口集成到现有的远程医疗系统中,但她也为具有或不具有医学知识的最终用户提供了高度的自主权。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Autonomic telemedical application for Android based mobile devices
In this paper, a mobile telemedicine application implemented for Android based devices is presented. The main application's functionality of ECG transmission is extended by real time ECG analysis, as well as real time analyze of acceleration data captured by embedded acceleration sensor. In this paper are presented efficient algorithms for ECG and acceleration data analysis. The ECG analysis is focused on arrhythmic heartbeats detection and pathological ST-T segment detection. Arrhythmic heartbeats detection is performed on the estimated ECG model features using Artificial Neural Networks (ANN). In the mobile application alarms could be defined, which triggering can send e-mail messages with attached ECG images and excel formatted data reports. Data from the acceleration sensor are analyzed regarding to monitor user walking activity. Mobile application is integrated in the existing telemedical system using predefined interfaces, but she also provides high autonomy to the end users with or without medical knowledge.
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