I. Mahbub, Hanfeng Wang, S. Islam, S. Pullano, A. Fiorillo
{"title":"A low power wireless breathing monitoring system using piezoelectric transducer","authors":"I. Mahbub, Hanfeng Wang, S. Islam, S. Pullano, A. Fiorillo","doi":"10.1109/MeMeA.2016.7533756","DOIUrl":null,"url":null,"abstract":"The paper presents a continuous breathing pattern monitoring system using a piezoelectric transducer and low power CMOS integrated circuit. The system is compatible for being used as a wearable device around the chest using a belt. The piezoelectric sensor is a ferroelectric polymer which is a biocompatible material. The rest of the integrated circuit is designed using a standard 130 nm CMOS process. The smaller footprint, wireless interface, low-cost and inconvenience-free design features of the proposed system makes it an attractive alternative to conventional methods for continuous breathing pattern monitoring.","PeriodicalId":221120,"journal":{"name":"2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MeMeA.2016.7533756","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 19
Abstract
The paper presents a continuous breathing pattern monitoring system using a piezoelectric transducer and low power CMOS integrated circuit. The system is compatible for being used as a wearable device around the chest using a belt. The piezoelectric sensor is a ferroelectric polymer which is a biocompatible material. The rest of the integrated circuit is designed using a standard 130 nm CMOS process. The smaller footprint, wireless interface, low-cost and inconvenience-free design features of the proposed system makes it an attractive alternative to conventional methods for continuous breathing pattern monitoring.