Employing an Incentive Spirometer to Calibrate Tidal Volumes Estimated from a Smartphone Camera
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Reyes, Bersain A. | - |
dc.contributor.author | Reljin, Natasa | - |
dc.contributor.author | Kong, Youngsun | - |
dc.contributor.author | Nam, Yunyoung | - |
dc.contributor.author | Ha, Sangho | - |
dc.contributor.author | Chon, Ki H. | - |
dc.date.accessioned | 2021-08-11T17:46:02Z | - |
dc.date.available | 2021-08-11T17:46:02Z | - |
dc.date.issued | 2016-03 | - |
dc.identifier.issn | 1424-8220 | - |
dc.identifier.issn | 1424-3210 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/9301 | - |
dc.description.abstract | A smartphone-based tidal volume (V-T) estimator was recently introduced by our research group, where an Android application provides a chest movement signal whose peak-to-peak amplitude is highly correlated with reference V-T measured by a spirometer. We found a Normalized Root Mean Squared Error (NRMSE) of 14.998% +/- 5.171% (mean +/- SD) when the smartphone measures were calibrated using spirometer data. However, the availability of a spirometer device for calibration is not realistic outside clinical or research environments. In order to be used by the general population on a daily basis, a simple calibration procedure not relying on specialized devices is required. In this study, we propose taking advantage of the linear correlation between smartphone measurements and V-T to obtain a calibration model using information computed while the subject breathes through a commercially-available incentive spirometer (IS). Experiments were performed on twelve (N = 12) healthy subjects. In addition to corroborating findings from our previous study using a spirometer for calibration, we found that the calibration procedure using an IS resulted in a fixed bias of -0.051 L and a RMSE of 0.189 +/- 0.074 L corresponding to 18.559% +/- 6.579% when normalized. Although it has a small underestimation and slightly increased error, the proposed calibration procedure using an IS has the advantages of being simple, fast, and affordable. This study supports the feasibility of developing a portable smartphone-based breathing status monitor that provides information about breathing depth, in addition to the more commonly estimated respiratory rate, on a daily basis. | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Multidisciplinary Digital Publishing Institute (MDPI) | - |
dc.title | Employing an Incentive Spirometer to Calibrate Tidal Volumes Estimated from a Smartphone Camera | - |
dc.type | Article | - |
dc.publisher.location | 스위스 | - |
dc.identifier.doi | 10.3390/s16030397 | - |
dc.identifier.scopusid | 2-s2.0-84962488455 | - |
dc.identifier.wosid | 000373713600119 | - |
dc.identifier.bibliographicCitation | Sensors, v.16, no.3 | - |
dc.citation.title | Sensors | - |
dc.citation.volume | 16 | - |
dc.citation.number | 3 | - |
dc.type.docType | Article | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Instruments & Instrumentation | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Analytical | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Instruments & Instrumentation | - |
dc.subject.keywordPlus | CHEST-WALL | - |
dc.subject.keywordPlus | NONCONTACT | - |
dc.subject.keywordAuthor | breathing monitor | - |
dc.subject.keywordAuthor | smartphone camera | - |
dc.subject.keywordAuthor | incentive spirometer | - |
dc.subject.keywordAuthor | calibration | - |
dc.subject.keywordAuthor | tidal volume | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(31538) 22, Soonchunhyang-ro, Asan-si, Chungcheongnam-do, Republic of Korea+82-41-530-1114
COPYRIGHT 2021 by SOONCHUNHYANG UNIVERSITY ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.