Estimation of breathing rate in thermal imaging videos: a pilot study on healthy human subjects.
Diverse studies have demonstrated the importance of monitoring breathing rate (BR). Commonly, changes in BR are one of the earliest and major markers of serious complications/illness. However, it is frequently neglected due to limitations of clinically established measurement techniques, which requi...
| Publicado en: | Journal of Clinical Monitoring & Computing Vol. 31; no. 6; pp. 1241 - 1255 |
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| Autores principales: | , , , , , |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Dec2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=125840651&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 125840651 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13871307 OHC jtl: Journal of Clinical Monitoring & Computing issn: 13871307 maglogo: N pubinfo: dt: Dec2017 vid: 31 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 125840651 125840651 144183193 NLM27778207 125840651 10.1007/s10877-016-9949-y NLM27778207 125840651 ppf: 1241 ppct: 14 formats: fmt: @attributes: type: P tig: atl: Estimation of breathing rate in thermal imaging videos: a pilot study on healthy human subjects. aug: au: Barbosa Pereira, Carina Yu, Xinchi Czaplik, Michael Blazek, Vladimir Venema, Boudewijn Leonhardt, Steffen affil: Chair for Medical Information Technology, Helmholtz-Institute for Biomedical Engineering , RWTH Aachen University , Aachen Germany sug: subj: Respiratory Rate Respiration Monitoring, Physiologic Methods Signal Processing, Computer Assisted Probability Models, Biological Models, Statistical Research Subjects Pilot Studies Movement Female Male Algorithms Videorecording Human Female Male ab: Diverse studies have demonstrated the importance of monitoring breathing rate (BR). Commonly, changes in BR are one of the earliest and major markers of serious complications/illness. However, it is frequently neglected due to limitations of clinically established measurement techniques, which require attachment of sensors. The employment of adhesive pads or thoracic belts in preterm infants as well as in traumatized or burned patients is an additional paramount issue. The present paper proposes a new robust approach, based on data fusion, to remotely monitor BR using infrared thermography (IRT). The algorithm considers not only temperature modulation around mouth and nostrils but also the movements of both shoulders. The data of these four sensors/regions of interest need to be further fused to reach improved accuracy. To investigate the performance of our approach, two different experiments (phase A: normal breathing, phase B: simulation of breathing disorders) on twelve healthy volunteers were performed. Thoracic effort (piezoplethysmography) was simultaneously acquired to validate our results. Excellent agreements between BR estimated with IRT and gold standard were achieved. While in phase A a mean correlation of 0.98 and a root-mean-square error (RMSE) of 0.28 bpm was reached, in phase B the mean correlation and the RMSE hovered around 0.95 and 3.45 bpm, respectively. The higher RMSE in phase B results predominantly from delays between IRT and gold standard in BR transitions: eupnea/apnea, apnea/tachypnea etc. Moreover, this study also demonstrates the capability of IRT to capture varied breathing disorders, and consecutively, to assess respiratory function. In summary, IRT might be a promising monitoring alternative to the conventional contact-based techniques regarding its performance and remarkable capabilities. pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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