{"title":"Heart rate monitoring using IoT wearable for ambulatory patient","authors":"Hendry Cahya Irawan, T. Juhana","doi":"10.1109/TSSA.2017.8272931","DOIUrl":null,"url":null,"abstract":"This paper describes the development of a prototype that allows monitoring heart rate and inter beat intervals for some subjects. This Prototipe was realizationed using wearable Smartwatch Samsung gear S3, with library WebSocket, nodejs and JavaScript. The system architecture is described where the server nodejs act as signal processing and GUI code for the client. The signal processing algorithm is implemented in JavaScript. GUI applications are presented which can be used in monitoring tools. Some important parts of the code are describes the communication between wearable smartwatch Samsung gear S3, server and client. The developed prototype shows one possible realization of monitoring of biomedical.","PeriodicalId":271883,"journal":{"name":"2017 11th International Conference on Telecommunication Systems Services and Applications (TSSA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 11th International Conference on Telecommunication Systems Services and Applications (TSSA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TSSA.2017.8272931","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16
Abstract
This paper describes the development of a prototype that allows monitoring heart rate and inter beat intervals for some subjects. This Prototipe was realizationed using wearable Smartwatch Samsung gear S3, with library WebSocket, nodejs and JavaScript. The system architecture is described where the server nodejs act as signal processing and GUI code for the client. The signal processing algorithm is implemented in JavaScript. GUI applications are presented which can be used in monitoring tools. Some important parts of the code are describes the communication between wearable smartwatch Samsung gear S3, server and client. The developed prototype shows one possible realization of monitoring of biomedical.