{"title":"Implementation of the Variable ECG Data Packet Transmission System with Activity State","authors":"Byeong-Gu Ahn, Yun-Hong Noh, Do-Un Jeong","doi":"10.1109/WAINA.2015.98","DOIUrl":null,"url":null,"abstract":"Fragmentary in wearable ECG measurement is an unacceptable failure as the lost of information will affect the result of health information analysis. Therefore, there is recent attempt to analyze physical activity information and compare with biological signal to improve the accuracy of health information diagnosis. Furthermore, effective data transmission scheme for Wireless ECG + activity data transmission is another challenge to solve. In this paper, we implement a wearable ECG monitoring system to monitor ECG in real time. Within the system, we deploy abnormal heart rate detection scheme and minimum activity classification scheme to detect abnormal cardiac activity and provide instantaneous feedback of activity status to the user. Finally we also implement a simple data compression algorithm to suppress the size of data packet transmitted for effective data transmission. The whole proposed ECG monitoring system is offering a long time ECG monitoring solution for effective health information analysis.","PeriodicalId":6845,"journal":{"name":"2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops","volume":"25 1","pages":"6-10"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WAINA.2015.98","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
Fragmentary in wearable ECG measurement is an unacceptable failure as the lost of information will affect the result of health information analysis. Therefore, there is recent attempt to analyze physical activity information and compare with biological signal to improve the accuracy of health information diagnosis. Furthermore, effective data transmission scheme for Wireless ECG + activity data transmission is another challenge to solve. In this paper, we implement a wearable ECG monitoring system to monitor ECG in real time. Within the system, we deploy abnormal heart rate detection scheme and minimum activity classification scheme to detect abnormal cardiac activity and provide instantaneous feedback of activity status to the user. Finally we also implement a simple data compression algorithm to suppress the size of data packet transmitted for effective data transmission. The whole proposed ECG monitoring system is offering a long time ECG monitoring solution for effective health information analysis.