{"title":"A wireless biosignal measurement system using a SoC FPGA and Bluetooth Low Energy","authors":"Ricardo Joaquinito, H. Sarmento","doi":"10.1109/ICCE-Berlin.2016.7684711","DOIUrl":null,"url":null,"abstract":"This paper presents the development of a prototype for a wireless biosignal measurement system, which makes use of a System-on-Chip FPGA, with an embedded ARM processor, and the Bluetooth Low Energy standard for wireless data transmission to a smartphone. The body temperature and heart rate are monitored using a steel-head thermistor and an ECG acquisition module, respectively. The ARM processor runs a Real-Time Operating System. A part of the algorithm that extracts the heart rate runs on custom hardware implemented in the FPGA fabric. The prototype successfully extracts the vital signs and sends updated values to a smartphone every second.","PeriodicalId":408379,"journal":{"name":"2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE-Berlin.2016.7684711","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
This paper presents the development of a prototype for a wireless biosignal measurement system, which makes use of a System-on-Chip FPGA, with an embedded ARM processor, and the Bluetooth Low Energy standard for wireless data transmission to a smartphone. The body temperature and heart rate are monitored using a steel-head thermistor and an ECG acquisition module, respectively. The ARM processor runs a Real-Time Operating System. A part of the algorithm that extracts the heart rate runs on custom hardware implemented in the FPGA fabric. The prototype successfully extracts the vital signs and sends updated values to a smartphone every second.