Accurate Estimation of Heart and Respiration Rates Based on an Optical Fiber Sensor Using Adaptive Regulations and Statistical Classifications Spectrum Analysis

The aim of this work is to present a method for accurately estimating heart and respiration rates under different actual conditions based on a mattress which was integrated with an optical fiber sensor. During the estimation, a ballistocardiogram (BCG) signal, which was obtained from the optical fib...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Rongjian Zhao, Lidong Du, Zhan Zhao, Xianxiang Chen, Jie Sun, Zhenzhen Man, Baogeng Cao, Zhen Fang
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	adaptive regulations statistical classifications spectrum analysis BCG heart rate respiration rate Medicine R Public aspects of medicine RA1-1270 Electronic computers. Computer science QA75.5-76.95
Acceso en línea:	https://doaj.org/article/30a0c41b217d49abaa536167a1c91b1b
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:30a0c41b217d49abaa536167a1c91b1b
record_format	dspace
spelling	oai:doaj.org-article:30a0c41b217d49abaa536167a1c91b1b2021-12-02T09:11:55ZAccurate Estimation of Heart and Respiration Rates Based on an Optical Fiber Sensor Using Adaptive Regulations and Statistical Classifications Spectrum Analysis2673-253X10.3389/fdgth.2021.747460https://doaj.org/article/30a0c41b217d49abaa536167a1c91b1b2021-12-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fdgth.2021.747460/fullhttps://doaj.org/toc/2673-253XThe aim of this work is to present a method for accurately estimating heart and respiration rates under different actual conditions based on a mattress which was integrated with an optical fiber sensor. During the estimation, a ballistocardiogram (BCG) signal, which was obtained from the optical fiber sensor, was used for extracting the heart rate and the respiration rate. However, due to the detrimental effects of the differential detector, self-interference, and variation of installation status of the sensor, the ballistocardiogram (BCG) signal was difficult to detect. In order to resolve the potential concerns of individual differences and body interferences, adaptive regulations and statistical classifications spectrum analysis were used in this paper. Experiments were carried out to quantify heart and respiration rates of healthy volunteers under different breathing and posture conditions. From the experimental results, it could be concluded that (1) the heart rates of 40–150 beats per minute (bpm) and respiration rates of 10–20 breaths per minute (bpm) were measured for individual differences; (2) for the same individuals under four different posture contacts, the mean errors of heart rates were separately 1.60 ± 0.98 bpm, 1.94 ± 0.83 bpm, 1.24 ± 0.59 bpm, and 1.06 ± 0.62 bpm, in contrast, the mean errors of the polar beat device were 1.09 ± 0.96 bpm, 1.44 ± 0.99 bpm, and 1.78 ± 0.94 bpm. Furthermore, the experimental results were validated by conventional counterparts which used skin-contacting electrodes as their measurements. It was reported that the heart rate was 0.26 ± 2.80 bpm in 95% confidence intervals (± 1.96SD) in comparison with Philips sure-signs VM6 medical monitor, and the respiration rate was 0.41 ± 1.49 bpm in 95% confidence intervals (± 1.96SD) in comparison with ECG-derived respiratory (EDR) measurements for respiration rates. It was indicated that the developed system using adaptive regulations and statistical classifications spectrum analysis performed better and could easily be used under complex environments.Rongjian ZhaoRongjian ZhaoLidong DuZhan ZhaoZhan ZhaoXianxiang ChenJie SunZhenzhen ManBaogeng CaoZhen FangZhen FangZhen FangFrontiers Media S.A.articleadaptive regulationsstatistical classifications spectrum analysisBCGheart raterespiration rateMedicineRPublic aspects of medicineRA1-1270Electronic computers. Computer scienceQA75.5-76.95ENFrontiers in Digital Health, Vol 3 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	adaptive regulations statistical classifications spectrum analysis BCG heart rate respiration rate Medicine R Public aspects of medicine RA1-1270 Electronic computers. Computer science QA75.5-76.95
spellingShingle	adaptive regulations statistical classifications spectrum analysis BCG heart rate respiration rate Medicine R Public aspects of medicine RA1-1270 Electronic computers. Computer science QA75.5-76.95 Rongjian Zhao Rongjian Zhao Lidong Du Zhan Zhao Zhan Zhao Xianxiang Chen Jie Sun Zhenzhen Man Baogeng Cao Zhen Fang Zhen Fang Zhen Fang Accurate Estimation of Heart and Respiration Rates Based on an Optical Fiber Sensor Using Adaptive Regulations and Statistical Classifications Spectrum Analysis
description	The aim of this work is to present a method for accurately estimating heart and respiration rates under different actual conditions based on a mattress which was integrated with an optical fiber sensor. During the estimation, a ballistocardiogram (BCG) signal, which was obtained from the optical fiber sensor, was used for extracting the heart rate and the respiration rate. However, due to the detrimental effects of the differential detector, self-interference, and variation of installation status of the sensor, the ballistocardiogram (BCG) signal was difficult to detect. In order to resolve the potential concerns of individual differences and body interferences, adaptive regulations and statistical classifications spectrum analysis were used in this paper. Experiments were carried out to quantify heart and respiration rates of healthy volunteers under different breathing and posture conditions. From the experimental results, it could be concluded that (1) the heart rates of 40–150 beats per minute (bpm) and respiration rates of 10–20 breaths per minute (bpm) were measured for individual differences; (2) for the same individuals under four different posture contacts, the mean errors of heart rates were separately 1.60 ± 0.98 bpm, 1.94 ± 0.83 bpm, 1.24 ± 0.59 bpm, and 1.06 ± 0.62 bpm, in contrast, the mean errors of the polar beat device were 1.09 ± 0.96 bpm, 1.44 ± 0.99 bpm, and 1.78 ± 0.94 bpm. Furthermore, the experimental results were validated by conventional counterparts which used skin-contacting electrodes as their measurements. It was reported that the heart rate was 0.26 ± 2.80 bpm in 95% confidence intervals (± 1.96SD) in comparison with Philips sure-signs VM6 medical monitor, and the respiration rate was 0.41 ± 1.49 bpm in 95% confidence intervals (± 1.96SD) in comparison with ECG-derived respiratory (EDR) measurements for respiration rates. It was indicated that the developed system using adaptive regulations and statistical classifications spectrum analysis performed better and could easily be used under complex environments.
format	article
author	Rongjian Zhao Rongjian Zhao Lidong Du Zhan Zhao Zhan Zhao Xianxiang Chen Jie Sun Zhenzhen Man Baogeng Cao Zhen Fang Zhen Fang Zhen Fang
author_facet	Rongjian Zhao Rongjian Zhao Lidong Du Zhan Zhao Zhan Zhao Xianxiang Chen Jie Sun Zhenzhen Man Baogeng Cao Zhen Fang Zhen Fang Zhen Fang
author_sort	Rongjian Zhao
title	Accurate Estimation of Heart and Respiration Rates Based on an Optical Fiber Sensor Using Adaptive Regulations and Statistical Classifications Spectrum Analysis
title_short	Accurate Estimation of Heart and Respiration Rates Based on an Optical Fiber Sensor Using Adaptive Regulations and Statistical Classifications Spectrum Analysis
title_full	Accurate Estimation of Heart and Respiration Rates Based on an Optical Fiber Sensor Using Adaptive Regulations and Statistical Classifications Spectrum Analysis
title_fullStr	Accurate Estimation of Heart and Respiration Rates Based on an Optical Fiber Sensor Using Adaptive Regulations and Statistical Classifications Spectrum Analysis
title_full_unstemmed	Accurate Estimation of Heart and Respiration Rates Based on an Optical Fiber Sensor Using Adaptive Regulations and Statistical Classifications Spectrum Analysis
title_sort	accurate estimation of heart and respiration rates based on an optical fiber sensor using adaptive regulations and statistical classifications spectrum analysis
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/30a0c41b217d49abaa536167a1c91b1b
work_keys_str_mv	AT rongjianzhao accurateestimationofheartandrespirationratesbasedonanopticalfibersensorusingadaptiveregulationsandstatisticalclassificationsspectrumanalysis AT rongjianzhao accurateestimationofheartandrespirationratesbasedonanopticalfibersensorusingadaptiveregulationsandstatisticalclassificationsspectrumanalysis AT lidongdu accurateestimationofheartandrespirationratesbasedonanopticalfibersensorusingadaptiveregulationsandstatisticalclassificationsspectrumanalysis AT zhanzhao accurateestimationofheartandrespirationratesbasedonanopticalfibersensorusingadaptiveregulationsandstatisticalclassificationsspectrumanalysis AT zhanzhao accurateestimationofheartandrespirationratesbasedonanopticalfibersensorusingadaptiveregulationsandstatisticalclassificationsspectrumanalysis AT xianxiangchen accurateestimationofheartandrespirationratesbasedonanopticalfibersensorusingadaptiveregulationsandstatisticalclassificationsspectrumanalysis AT jiesun accurateestimationofheartandrespirationratesbasedonanopticalfibersensorusingadaptiveregulationsandstatisticalclassificationsspectrumanalysis AT zhenzhenman accurateestimationofheartandrespirationratesbasedonanopticalfibersensorusingadaptiveregulationsandstatisticalclassificationsspectrumanalysis AT baogengcao accurateestimationofheartandrespirationratesbasedonanopticalfibersensorusingadaptiveregulationsandstatisticalclassificationsspectrumanalysis AT zhenfang accurateestimationofheartandrespirationratesbasedonanopticalfibersensorusingadaptiveregulationsandstatisticalclassificationsspectrumanalysis AT zhenfang accurateestimationofheartandrespirationratesbasedonanopticalfibersensorusingadaptiveregulationsandstatisticalclassificationsspectrumanalysis AT zhenfang accurateestimationofheartandrespirationratesbasedonanopticalfibersensorusingadaptiveregulationsandstatisticalclassificationsspectrumanalysis
_version_	1718398176898056192

Accurate Estimation of Heart and Respiration Rates Based on an Optical Fiber Sensor Using Adaptive Regulations and Statistical Classifications Spectrum Analysis

Ejemplares similares