Zheng Gang, Han Zheng-Zhi, Dai Min, Qin Qin, Li Yang
{"title":"Study of Social Network Based Wearable ECG Health Interaction Platform","authors":"Zheng Gang, Han Zheng-Zhi, Dai Min, Qin Qin, Li Yang","doi":"10.1109/IMCCC.2015.207","DOIUrl":null,"url":null,"abstract":"This paper proposed a Wearable ECG (Electrocardiogram, ECG) Healthy Interaction Platform proposal, the platform is based on Social Network. Own designed wearable ECG collecting device was used to collect ECG data, non-sticky fabric electrodes helped to improved the comfort of user experience, and the platform like QQ built the architecture of ECG monitoring, transferring, and diagnosing. The paper selected 16 healthy bachelor volunteer students. Their ECG data were collected, and diagnosed by cardiology doctors of Tianjin chest hospital. Experiment results show that the platform is stable, reliable, and its response can be used in real time application.","PeriodicalId":438549,"journal":{"name":"2015 Fifth International Conference on Instrumentation and Measurement, Computer, Communication and Control (IMCCC)","volume":"25 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Fifth International Conference on Instrumentation and Measurement, Computer, Communication and Control (IMCCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMCCC.2015.207","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
This paper proposed a Wearable ECG (Electrocardiogram, ECG) Healthy Interaction Platform proposal, the platform is based on Social Network. Own designed wearable ECG collecting device was used to collect ECG data, non-sticky fabric electrodes helped to improved the comfort of user experience, and the platform like QQ built the architecture of ECG monitoring, transferring, and diagnosing. The paper selected 16 healthy bachelor volunteer students. Their ECG data were collected, and diagnosed by cardiology doctors of Tianjin chest hospital. Experiment results show that the platform is stable, reliable, and its response can be used in real time application.