Smartphone-based photoplethysmographic imaging for heart rate monitoring.
The purpose of this study is to make use of visible light reflected mode photoplethysmographic (PPG) imaging for heart rate (HR) monitoring via smartphones. The system uses the built-in camera feature in mobile phones to capture video from the subject’s index fingertip. The video is processed, and t...
| Publicado en: | Journal of Medical Engineering & Technology Vol. 41; no. 5; pp. 387 - 396 |
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| Autor principal: | |
| Formato: | research tables/charts tracings Journal Article |
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Taylor & Francis Ltd
Jul2017
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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=123603441&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 123603441 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03091902 B9Q jtl: Journal of Medical Engineering & Technology issn: 03091902 maglogo: Y pubinfo: dt: Jul2017 vid: 41 iid: 5 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 123603441 123603441 NLM28300460 123603441 10.1080/03091902.2017.1299233 NLM28300460 123603441 ppf: 387 ppct: 9 formats: tig: atl: Smartphone-based photoplethysmographic imaging for heart rate monitoring. aug: au: Alafeef, Maha affil: Department of Biomedical Engineering, Faculty of Engineering, Jordan University of Science and Technology, Irbid, Jordan sug: subj: Heart Rate Physiology Plethysmography Equipment and Supplies Monitoring, Physiologic Signal Processing, Computer Assisted Algorithms Human ab: The purpose of this study is to make use of visible light reflected mode photoplethysmographic (PPG) imaging for heart rate (HR) monitoring via smartphones. The system uses the built-in camera feature in mobile phones to capture video from the subject’s index fingertip. The video is processed, and then the PPG signal resulting from the video stream processing is used to calculate the subject’s heart rate. Records from 19 subjects were used to evaluate the system’s performance. The HR values obtained by the proposed method were compared with the actual HR. The obtained results show an accuracy of 99.7% and a maximum absolute error of 0.4 beats/min where most of the absolute errors lay in the range of 0.04–0.3 beats/min. Given the encouraging results, this type of HR measurement can be adopted with great benefit, especially in the conditions of personal use or home-based care. The proposed method represents an efficient portable solution for HR accurate detection and recording. pubtype: Academic Journal doctype: research tables/charts tracings Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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