{"title":"基于智能手机的低成本心脏机械信号脉冲传递时间测量方案的可行性研究","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":"{\"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}","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}
A feasibility study on a low-cost, smartphone-based solution of pulse transit time measurement using cardio-mechanical signals
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.