Signal Quality Index Based on Template Cross-Correlation in Multimodal Biosignal Chair for Smart Healthcare

We investigated the effects of a quality screening method on unconstrained measured signals, including electrocardiogram (ECG), photoplethysmogram (PPG), and ballistocardiogram (BCG) signals, in our collective chair system for smart healthcare. Such an investigation is necessary because unattached o...

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Autores principales:	Seunghyeok Hong, Jeong Heo, Kwang Suk Park
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	comfortable measurement physiological measurement biological SQI capacitive ECG unobtrusive PPG BCG Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/3de82986a87248cb98cbbc8c8c5b63d7
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spelling	oai:doaj.org-article:3de82986a87248cb98cbbc8c8c5b63d72021-11-25T18:57:28ZSignal Quality Index Based on Template Cross-Correlation in Multimodal Biosignal Chair for Smart Healthcare10.3390/s212275641424-8220https://doaj.org/article/3de82986a87248cb98cbbc8c8c5b63d72021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7564https://doaj.org/toc/1424-8220We investigated the effects of a quality screening method on unconstrained measured signals, including electrocardiogram (ECG), photoplethysmogram (PPG), and ballistocardiogram (BCG) signals, in our collective chair system for smart healthcare. Such an investigation is necessary because unattached or unbound sensors have weaker connections to body parts than do conventional methods. Using the biosignal chair, the physiological signals collected during sessions included a virtual driving task, a physically powered wheelchair drive, and three types of body motions. The signal quality index was defined by the similarity between the observed signals and noise-free signals from the perspective of the cross-correlations of coefficients with appropriate individual templates. The goal of the index was to qualify signals without a reference signal to assess the practical use of the chair in daily life. As expected, motion artifacts have adverse effects on the stability of physiological signals. However, we were able to observe a supplementary relationship between sensors depending on each movement trait. Except for extreme movements, the signal quality and estimated heart rate (HR) remained within the range of criteria usable for status monitoring. By investigating the signal reliability, we were able to confirm the suitability of using the unconstrained biosignal chair to collect real-life measurements to improve safety and healthcare.Seunghyeok HongJeong HeoKwang Suk ParkMDPI AGarticlecomfortable measurementphysiological measurementbiological SQIcapacitive ECGunobtrusive PPGBCGChemical technologyTP1-1185ENSensors, Vol 21, Iss 7564, p 7564 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	comfortable measurement physiological measurement biological SQI capacitive ECG unobtrusive PPG BCG Chemical technology TP1-1185
spellingShingle	comfortable measurement physiological measurement biological SQI capacitive ECG unobtrusive PPG BCG Chemical technology TP1-1185 Seunghyeok Hong Jeong Heo Kwang Suk Park Signal Quality Index Based on Template Cross-Correlation in Multimodal Biosignal Chair for Smart Healthcare
description	We investigated the effects of a quality screening method on unconstrained measured signals, including electrocardiogram (ECG), photoplethysmogram (PPG), and ballistocardiogram (BCG) signals, in our collective chair system for smart healthcare. Such an investigation is necessary because unattached or unbound sensors have weaker connections to body parts than do conventional methods. Using the biosignal chair, the physiological signals collected during sessions included a virtual driving task, a physically powered wheelchair drive, and three types of body motions. The signal quality index was defined by the similarity between the observed signals and noise-free signals from the perspective of the cross-correlations of coefficients with appropriate individual templates. The goal of the index was to qualify signals without a reference signal to assess the practical use of the chair in daily life. As expected, motion artifacts have adverse effects on the stability of physiological signals. However, we were able to observe a supplementary relationship between sensors depending on each movement trait. Except for extreme movements, the signal quality and estimated heart rate (HR) remained within the range of criteria usable for status monitoring. By investigating the signal reliability, we were able to confirm the suitability of using the unconstrained biosignal chair to collect real-life measurements to improve safety and healthcare.
format	article
author	Seunghyeok Hong Jeong Heo Kwang Suk Park
author_facet	Seunghyeok Hong Jeong Heo Kwang Suk Park
author_sort	Seunghyeok Hong
title	Signal Quality Index Based on Template Cross-Correlation in Multimodal Biosignal Chair for Smart Healthcare
title_short	Signal Quality Index Based on Template Cross-Correlation in Multimodal Biosignal Chair for Smart Healthcare
title_full	Signal Quality Index Based on Template Cross-Correlation in Multimodal Biosignal Chair for Smart Healthcare
title_fullStr	Signal Quality Index Based on Template Cross-Correlation in Multimodal Biosignal Chair for Smart Healthcare
title_full_unstemmed	Signal Quality Index Based on Template Cross-Correlation in Multimodal Biosignal Chair for Smart Healthcare
title_sort	signal quality index based on template cross-correlation in multimodal biosignal chair for smart healthcare
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/3de82986a87248cb98cbbc8c8c5b63d7
work_keys_str_mv	AT seunghyeokhong signalqualityindexbasedontemplatecrosscorrelationinmultimodalbiosignalchairforsmarthealthcare AT jeongheo signalqualityindexbasedontemplatecrosscorrelationinmultimodalbiosignalchairforsmarthealthcare AT kwangsukpark signalqualityindexbasedontemplatecrosscorrelationinmultimodalbiosignalchairforsmarthealthcare
_version_	1718410457513984000

Signal Quality Index Based on Template Cross-Correlation in Multimodal Biosignal Chair for Smart Healthcare

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