{"title":"A novel method for pulse transit time estimation using wrist bio-impedance sensing based on a regression model","authors":"Bassem Ibrahim, A. Akbari, R. Jafari","doi":"10.1109/BIOCAS.2017.8325054","DOIUrl":null,"url":null,"abstract":"Pulse transit time (PTT) is a promising method to estimate blood pressure using a wearable device. In this work, we explore the measurement of PTT using two bio-impedance (Bio-Z) sensors placed on the wrist 7.5 cm apart such that they can be integrated into a wrist watch. In order to take into account the different factors affecting blood flow in the wrist, a regression model is used based on multiple features extracted from the first and second derivative of Bio-Z. The estimated PTT is compared with a reference PTT measured from ECG and PPG sensors. Experimental measurements are conducted on three subjects and exhibited an average correlation coefficient of 0.77 for the PTT estimated from wrist Bio-Z compared to the reference PTT.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIOCAS.2017.8325054","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 22
Abstract
Pulse transit time (PTT) is a promising method to estimate blood pressure using a wearable device. In this work, we explore the measurement of PTT using two bio-impedance (Bio-Z) sensors placed on the wrist 7.5 cm apart such that they can be integrated into a wrist watch. In order to take into account the different factors affecting blood flow in the wrist, a regression model is used based on multiple features extracted from the first and second derivative of Bio-Z. The estimated PTT is compared with a reference PTT measured from ECG and PPG sensors. Experimental measurements are conducted on three subjects and exhibited an average correlation coefficient of 0.77 for the PTT estimated from wrist Bio-Z compared to the reference PTT.