{"title":"A feasibility study on a low-cost, smartphone-based solution of pulse transit time measurement using cardio-mechanical signals","authors":"Chenxi Yang, Negar Tavassolian","doi":"10.1109/HIC.2017.8227592","DOIUrl":null,"url":null,"abstract":"This paper presents a pilot study on a new method of measuring pulse transit time (PTT) using a commercial smartphone. An application based on an Android smartphone is developed to collect seismocardiogram (SCG) and gyrocardiogram (GCG) signals. The system is designed with a minimized amount of external sensors to reduce the total cost and complexity of the system. PTT measurements are calculated as a time difference between the fiducial points in photoplethysmography (PPG) recordings from a reference sensor module and SCG or GCG signals detected by the internal inertial sensors of a smartphone. A DSP system is designed and experimentally tested on five healthy subjects at rest. Our results suggest that the proposed solution could be a promising method to develop a low-cost, home-based PTT monitor.","PeriodicalId":120815,"journal":{"name":"2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HIC.2017.8227592","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
This paper presents a pilot study on a new method of measuring pulse transit time (PTT) using a commercial smartphone. An application based on an Android smartphone is developed to collect seismocardiogram (SCG) and gyrocardiogram (GCG) signals. The system is designed with a minimized amount of external sensors to reduce the total cost and complexity of the system. PTT measurements are calculated as a time difference between the fiducial points in photoplethysmography (PPG) recordings from a reference sensor module and SCG or GCG signals detected by the internal inertial sensors of a smartphone. A DSP system is designed and experimentally tested on five healthy subjects at rest. Our results suggest that the proposed solution could be a promising method to develop a low-cost, home-based PTT monitor.