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Blood pressure estimation system using human body communication-based electrocardiograph and photoplethysmography
In order to realise low-load cuffless and continuous blood pressure measurement in daily life, the authors developed a blood pressure estimation system combining human body communication-based wearable electrocardiograph and reflectance photoplethysmography. The principle is based on a relationship...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Institution of Engineering and Technology
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7494369/ https://www.ncbi.nlm.nih.gov/pubmed/32983546 http://dx.doi.org/10.1049/htl.2019.0105 |
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author | Sawatari, Yusuke Wang, Jianqing Anzai, Daisuke |
author_facet | Sawatari, Yusuke Wang, Jianqing Anzai, Daisuke |
author_sort | Sawatari, Yusuke |
collection | PubMed |
description | In order to realise low-load cuffless and continuous blood pressure measurement in daily life, the authors developed a blood pressure estimation system combining human body communication-based wearable electrocardiograph and reflectance photoplethysmography. The principle is based on a relationship between the pulse arrive time and the systolic blood pressure. The pulse arrive time is the time period between the R-wave in electrocardiograph and peak of pulse wave. The greatest feature is the use of a human body communication-based electrocardiograph which can provide automatic synchronisation in time between the measured electrocardiograph and pulse wave signals to obtain the pulse arrive time so that no additional synchronisation circuit is required. Using this system, the authors measured the pulse arrive time from the electrocardiograph and pulse wave signals in real time, estimated the systolic blood pressure and compared the result with that measured by a cuff sphygmomanometer. The authors found that the root mean square error of the estimated blood pressure and the actual value measured using the cuff sphygmomanometer was 4.5 mmHg or less, and the correlation coefficient was >0.6 with a P value much <0.05. These results show the validity of the developed system for cuffless and continuous blood pressure estimation. |
format | Online Article Text |
id | pubmed-7494369 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Institution of Engineering and Technology |
record_format | MEDLINE/PubMed |
spelling | pubmed-74943692020-09-24 Blood pressure estimation system using human body communication-based electrocardiograph and photoplethysmography Sawatari, Yusuke Wang, Jianqing Anzai, Daisuke Healthc Technol Lett Article In order to realise low-load cuffless and continuous blood pressure measurement in daily life, the authors developed a blood pressure estimation system combining human body communication-based wearable electrocardiograph and reflectance photoplethysmography. The principle is based on a relationship between the pulse arrive time and the systolic blood pressure. The pulse arrive time is the time period between the R-wave in electrocardiograph and peak of pulse wave. The greatest feature is the use of a human body communication-based electrocardiograph which can provide automatic synchronisation in time between the measured electrocardiograph and pulse wave signals to obtain the pulse arrive time so that no additional synchronisation circuit is required. Using this system, the authors measured the pulse arrive time from the electrocardiograph and pulse wave signals in real time, estimated the systolic blood pressure and compared the result with that measured by a cuff sphygmomanometer. The authors found that the root mean square error of the estimated blood pressure and the actual value measured using the cuff sphygmomanometer was 4.5 mmHg or less, and the correlation coefficient was >0.6 with a P value much <0.05. These results show the validity of the developed system for cuffless and continuous blood pressure estimation. The Institution of Engineering and Technology 2020-06-23 /pmc/articles/PMC7494369/ /pubmed/32983546 http://dx.doi.org/10.1049/htl.2019.0105 Text en http://creativecommons.org/licenses/by/3.0/ This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
spellingShingle | Article Sawatari, Yusuke Wang, Jianqing Anzai, Daisuke Blood pressure estimation system using human body communication-based electrocardiograph and photoplethysmography |
title | Blood pressure estimation system using human body communication-based electrocardiograph and photoplethysmography |
title_full | Blood pressure estimation system using human body communication-based electrocardiograph and photoplethysmography |
title_fullStr | Blood pressure estimation system using human body communication-based electrocardiograph and photoplethysmography |
title_full_unstemmed | Blood pressure estimation system using human body communication-based electrocardiograph and photoplethysmography |
title_short | Blood pressure estimation system using human body communication-based electrocardiograph and photoplethysmography |
title_sort | blood pressure estimation system using human body communication-based electrocardiograph and photoplethysmography |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7494369/ https://www.ncbi.nlm.nih.gov/pubmed/32983546 http://dx.doi.org/10.1049/htl.2019.0105 |
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