{"title":"Possibilities for attractive telemedical system implementation","authors":"S. Jokic, I. Jokic, S. Krco, V. Delić, Z. Perić","doi":"10.1109/NEUREL.2014.7011446","DOIUrl":null,"url":null,"abstract":"The paper presents design and implementation of an efficient telemedicine system. Main system capabilities are ECG acquisition, automated analysis, transmission to the server, possibility for physician ECG signal review. ECG acquisition may be achieved using existing commercial devices, as well as using a very affordable device designed by authors. Mobile application keeps connection with ECG device and performs ECG signal analysis nearly real-time with appropriate messaging to the user. Developed signal analysis algorithms are presented and considered regarding to achieved accuracy and computing efficiency. Nowadays, modern mobile devices usually have a lot of integrated sensors, like acceleration sensor. Mobile application implements real time acceleration sensor analysis regarding to detect user physical activity like walking. In mobile application report, user walking activity may provide useful information with appropriate correlation with ECG signal. From the mobile application user can send ECG records for review by physician involved in the system. ECG for Everybody services cover online storing, remote access as well as medical review of observed ECG records by physicians. Forum based portal of the ECG for Everybody is accessible for ECG records publishing. ECG records may be captured using different ECG devices, scanned images for example. Crowd-sourcing messaging on posted records is reviewed by physicians involved in the ECG for Everybody system and correct commenters are highly rated by physicians so their future comments can be marked as reliable for other users.","PeriodicalId":402208,"journal":{"name":"12th Symposium on Neural Network Applications in Electrical Engineering (NEUREL)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"12th Symposium on Neural Network Applications in Electrical Engineering (NEUREL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NEUREL.2014.7011446","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The paper presents design and implementation of an efficient telemedicine system. Main system capabilities are ECG acquisition, automated analysis, transmission to the server, possibility for physician ECG signal review. ECG acquisition may be achieved using existing commercial devices, as well as using a very affordable device designed by authors. Mobile application keeps connection with ECG device and performs ECG signal analysis nearly real-time with appropriate messaging to the user. Developed signal analysis algorithms are presented and considered regarding to achieved accuracy and computing efficiency. Nowadays, modern mobile devices usually have a lot of integrated sensors, like acceleration sensor. Mobile application implements real time acceleration sensor analysis regarding to detect user physical activity like walking. In mobile application report, user walking activity may provide useful information with appropriate correlation with ECG signal. From the mobile application user can send ECG records for review by physician involved in the system. ECG for Everybody services cover online storing, remote access as well as medical review of observed ECG records by physicians. Forum based portal of the ECG for Everybody is accessible for ECG records publishing. ECG records may be captured using different ECG devices, scanned images for example. Crowd-sourcing messaging on posted records is reviewed by physicians involved in the ECG for Everybody system and correct commenters are highly rated by physicians so their future comments can be marked as reliable for other users.
本文介绍了一个高效远程医疗系统的设计与实现。系统的主要功能是心电采集、自动分析、传输到服务器,为医生提供心电信号复查的可能性。ECG采集可以使用现有的商用设备来实现,也可以使用作者设计的非常经济实惠的设备来实现。移动应用程序与心电设备保持连接,几乎实时地进行心电信号分析,并向用户发送适当的消息。从实现精度和计算效率两个方面,提出并考虑了发展中的信号分析算法。如今,现代移动设备通常有很多集成传感器,如加速度传感器。移动应用程序实现实时加速度传感器分析,以检测用户的身体活动,如步行。在移动应用报告中,用户的步行活动可以提供有用的信息,并与心电信号进行适当的关联。从移动应用程序用户可以发送心电图记录,由参与系统的医生审查。人人心电服务包括在线存储、远程访问以及医生对观察到的心电记录进行医学复查。以论坛为基础的人人心电门户网站可用于心电记录的发布。可以使用不同的ECG设备捕获ECG记录,例如扫描图像。参与ECG for Everybody系统的医生会对发布记录的众包信息进行审查,正确的评论会得到医生的高度评价,这样他们未来的评论就可以被其他用户标记为可靠。