author_facet Atomi, Kengo
Kawanaka, Haruki
Bhuiyan, Md. Shoaib
Oguri, Koji
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author Atomi, Kengo
Kawanaka, Haruki
Bhuiyan, Md. Shoaib
Oguri, Koji
spellingShingle Atomi, Kengo
Kawanaka, Haruki
Bhuiyan, Md. Shoaib
Oguri, Koji
Computational and Mathematical Methods in Medicine
Cuffless Blood Pressure Estimation Based on Data-Oriented Continuous Health Monitoring System
Applied Mathematics
General Immunology and Microbiology
General Biochemistry, Genetics and Molecular Biology
Modeling and Simulation
General Medicine
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spelling Atomi, Kengo Kawanaka, Haruki Bhuiyan, Md. Shoaib Oguri, Koji 1748-670X 1748-6718 Hindawi Limited Applied Mathematics General Immunology and Microbiology General Biochemistry, Genetics and Molecular Biology Modeling and Simulation General Medicine http://dx.doi.org/10.1155/2017/1803485 <jats:p>Measuring blood pressure continuously helps monitor health and also prevent lifestyle related diseases to extend the expectancy of healthy life. Blood pressure, which is nowadays used for monitoring patient, is one of the most useful indexes for prevention of lifestyle related diseases such as hypertension. However, continuously monitoring the blood pressure is unrealistic because of discomfort caused by the tightening of a cuff belt. We have earlier researched the data-oriented blood pressure estimation without using a cuff. Remarkably, our blood pressure estimation method only uses a photoplethysmograph sensor. Therefore, the application is flexible for sensor locations and measuring situations. In this paper, we describe the implementation of our estimation method, the launch of a cloud system which can collect and manage blood pressure data measured by a wristwatch-type photoplethysmograph sensor, and the construction of our applications to visualize life-log data including the time-series data of blood pressure.</jats:p> Cuffless Blood Pressure Estimation Based on Data-Oriented Continuous Health Monitoring System Computational and Mathematical Methods in Medicine
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title Cuffless Blood Pressure Estimation Based on Data-Oriented Continuous Health Monitoring System
title_unstemmed Cuffless Blood Pressure Estimation Based on Data-Oriented Continuous Health Monitoring System
title_full Cuffless Blood Pressure Estimation Based on Data-Oriented Continuous Health Monitoring System
title_fullStr Cuffless Blood Pressure Estimation Based on Data-Oriented Continuous Health Monitoring System
title_full_unstemmed Cuffless Blood Pressure Estimation Based on Data-Oriented Continuous Health Monitoring System
title_short Cuffless Blood Pressure Estimation Based on Data-Oriented Continuous Health Monitoring System
title_sort cuffless blood pressure estimation based on data-oriented continuous health monitoring system
topic Applied Mathematics
General Immunology and Microbiology
General Biochemistry, Genetics and Molecular Biology
Modeling and Simulation
General Medicine
url http://dx.doi.org/10.1155/2017/1803485
publishDate 2017
physical 1-10
description <jats:p>Measuring blood pressure continuously helps monitor health and also prevent lifestyle related diseases to extend the expectancy of healthy life. Blood pressure, which is nowadays used for monitoring patient, is one of the most useful indexes for prevention of lifestyle related diseases such as hypertension. However, continuously monitoring the blood pressure is unrealistic because of discomfort caused by the tightening of a cuff belt. We have earlier researched the data-oriented blood pressure estimation without using a cuff. Remarkably, our blood pressure estimation method only uses a photoplethysmograph sensor. Therefore, the application is flexible for sensor locations and measuring situations. In this paper, we describe the implementation of our estimation method, the launch of a cloud system which can collect and manage blood pressure data measured by a wristwatch-type photoplethysmograph sensor, and the construction of our applications to visualize life-log data including the time-series data of blood pressure.</jats:p>
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description <jats:p>Measuring blood pressure continuously helps monitor health and also prevent lifestyle related diseases to extend the expectancy of healthy life. Blood pressure, which is nowadays used for monitoring patient, is one of the most useful indexes for prevention of lifestyle related diseases such as hypertension. However, continuously monitoring the blood pressure is unrealistic because of discomfort caused by the tightening of a cuff belt. We have earlier researched the data-oriented blood pressure estimation without using a cuff. Remarkably, our blood pressure estimation method only uses a photoplethysmograph sensor. Therefore, the application is flexible for sensor locations and measuring situations. In this paper, we describe the implementation of our estimation method, the launch of a cloud system which can collect and manage blood pressure data measured by a wristwatch-type photoplethysmograph sensor, and the construction of our applications to visualize life-log data including the time-series data of blood pressure.</jats:p>
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spelling Atomi, Kengo Kawanaka, Haruki Bhuiyan, Md. Shoaib Oguri, Koji 1748-670X 1748-6718 Hindawi Limited Applied Mathematics General Immunology and Microbiology General Biochemistry, Genetics and Molecular Biology Modeling and Simulation General Medicine http://dx.doi.org/10.1155/2017/1803485 <jats:p>Measuring blood pressure continuously helps monitor health and also prevent lifestyle related diseases to extend the expectancy of healthy life. Blood pressure, which is nowadays used for monitoring patient, is one of the most useful indexes for prevention of lifestyle related diseases such as hypertension. However, continuously monitoring the blood pressure is unrealistic because of discomfort caused by the tightening of a cuff belt. We have earlier researched the data-oriented blood pressure estimation without using a cuff. Remarkably, our blood pressure estimation method only uses a photoplethysmograph sensor. Therefore, the application is flexible for sensor locations and measuring situations. In this paper, we describe the implementation of our estimation method, the launch of a cloud system which can collect and manage blood pressure data measured by a wristwatch-type photoplethysmograph sensor, and the construction of our applications to visualize life-log data including the time-series data of blood pressure.</jats:p> Cuffless Blood Pressure Estimation Based on Data-Oriented Continuous Health Monitoring System Computational and Mathematical Methods in Medicine
spellingShingle Atomi, Kengo, Kawanaka, Haruki, Bhuiyan, Md. Shoaib, Oguri, Koji, Computational and Mathematical Methods in Medicine, Cuffless Blood Pressure Estimation Based on Data-Oriented Continuous Health Monitoring System, Applied Mathematics, General Immunology and Microbiology, General Biochemistry, Genetics and Molecular Biology, Modeling and Simulation, General Medicine
title Cuffless Blood Pressure Estimation Based on Data-Oriented Continuous Health Monitoring System
title_full Cuffless Blood Pressure Estimation Based on Data-Oriented Continuous Health Monitoring System
title_fullStr Cuffless Blood Pressure Estimation Based on Data-Oriented Continuous Health Monitoring System
title_full_unstemmed Cuffless Blood Pressure Estimation Based on Data-Oriented Continuous Health Monitoring System
title_short Cuffless Blood Pressure Estimation Based on Data-Oriented Continuous Health Monitoring System
title_sort cuffless blood pressure estimation based on data-oriented continuous health monitoring system
title_unstemmed Cuffless Blood Pressure Estimation Based on Data-Oriented Continuous Health Monitoring System
topic Applied Mathematics, General Immunology and Microbiology, General Biochemistry, Genetics and Molecular Biology, Modeling and Simulation, General Medicine
url http://dx.doi.org/10.1155/2017/1803485