H. Abbas, Karim Zahed, L. Alic, Yibo Zhu, F. Sasangohar, Ranjana K. Mehta, M. Lawley, Q. Abbasi, K. Qaraqe
{"title":"A Wearable, Low-cost Hand Tremor Sensor for Detecting Hypoglycemic Events in Diabetic Patients","authors":"H. Abbas, Karim Zahed, L. Alic, Yibo Zhu, F. Sasangohar, Ranjana K. Mehta, M. Lawley, Q. Abbasi, K. Qaraqe","doi":"10.1109/RFM.2018.8846546","DOIUrl":null,"url":null,"abstract":"Severe hypoglycemia leverages complication in diabetes patients: e.g., it increases death rate by a six-fold. Therefore, early detection and prediction of hypoglycemic events are of utmost importance. This publication presents a prototype of a wearable hand-tremor system that detects the onset of hypoglycemic events. The results show the prototype is capable of simulating anticipated frequency and amplitude of the tremor relevant for hypoglycemic events. The initial functional performance-tests demonstrate a maximum error of 4.75% in the detecting the tremor frequency.","PeriodicalId":111726,"journal":{"name":"2018 IEEE International RF and Microwave Conference (RFM)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International RF and Microwave Conference (RFM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RFM.2018.8846546","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Severe hypoglycemia leverages complication in diabetes patients: e.g., it increases death rate by a six-fold. Therefore, early detection and prediction of hypoglycemic events are of utmost importance. This publication presents a prototype of a wearable hand-tremor system that detects the onset of hypoglycemic events. The results show the prototype is capable of simulating anticipated frequency and amplitude of the tremor relevant for hypoglycemic events. The initial functional performance-tests demonstrate a maximum error of 4.75% in the detecting the tremor frequency.