Video-based heart rate monitoring across a range of skin pigmentations during an acute hypoxic challenge.
The robust monitoring of heart rate from the video-photoplethysmogram (video-PPG) during challenging conditions requires new analysis techniques. The work reported here extends current research in this area by applying a motion tolerant algorithm to extract high quality video-PPGs from a cohort of s...
| Publicado en: | Journal of Clinical Monitoring & Computing Vol. 32; no. 5; pp. 871 - 881 |
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| Autores principales: | , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Oct2018
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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=131471619&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 131471619 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13871307 OHC jtl: Journal of Clinical Monitoring & Computing issn: 13871307 maglogo: N pubinfo: dt: Oct2018 vid: 32 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 131471619 131471619 NLM29124562 131471619 10.1007/s10877-017-0076-1 NLM29124562 131471619 ppf: 871 ppct: 10 formats: fmt: @attributes: type: P tig: atl: Video-based heart rate monitoring across a range of skin pigmentations during an acute hypoxic challenge. aug: au: Addison, Paul S. Jacquel, Dominique Foo, David M. H. Borg, Ulf R. affil: Medtronic, Video Biosignals Group, Patient Monitoring, Technopole Centre, EH26 0PJ, Edinburgh, UK sug: subj: Skin Pigmentation Physiology Heart Rate Physiology Plethysmography Methods Oximetry Statistics and Numerical Data Plethysmography Statistics and Numerical Data Adult Research Subjects Videorecording Regression Young Adult Male Signal Processing, Computer Assisted Algorithms Female Human Adult: 19-44 years Male Female ab: The robust monitoring of heart rate from the video-photoplethysmogram (video-PPG) during challenging conditions requires new analysis techniques. The work reported here extends current research in this area by applying a motion tolerant algorithm to extract high quality video-PPGs from a cohort of subjects undergoing marked heart rate changes during a hypoxic challenge, and exhibiting a full range of skin pigmentation types. High uptimes in reported video-based heart rate (HRvid) were targeted, while retaining high accuracy in the results. Ten healthy volunteers were studied during a double desaturation hypoxic challenge. Video-PPGs were generated from the acquired video image stream and processed to generate heart rate. HRvid was compared to the pulse rate posted by a reference pulse oximeter device (HRp). Agreement between video-based heart rate and that provided by the pulse oximeter was as follows: Bias = - 0.21 bpm, RMSD = 2.15 bpm, least squares fit gradient = 1.00 (Pearson R = 0.99, p < 0.0001), with a 98.78% reporting uptime. The difference between the HRvid and HRp exceeded 5 and 10 bpm, for 3.59 and 0.35% of the reporting time respectively, and at no point did these differences exceed 25 bpm. Excellent agreement was found between the HRvid and HRp in a study covering the whole range of skin pigmentation types (Fitzpatrick scales I-VI), using standard room lighting and with moderate subject motion. Although promising, further work should include a larger cohort with multiple subjects per Fitzpatrick class combined with a more rigorous motion and lighting protocol. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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