Finger and ear photoplethysmogram waveform analysis by fitting with Gaussians.
Analysis of the contour of the blood volume pulse (VP) has become important because it contains much information about cardiovascular activity. Traditionally, pulse contour analysis requires first or higher derivatives to be calculated. This paper describes a novel algorithm for analysing simultaneo...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 46; no. 12; pp. 1271 - 1277 |
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| Autores principales: | , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Dec2008
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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=105579905&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105579905 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Dec2008 vid: 46 iid: 12 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 105579905 NLM18855034 2010109426 10.1007/s11517-008-0406-z NLM18855034 105579905 ppf: 1271 ppct: 6 formats: fmt: @attributes: type: P tig: atl: Finger and ear photoplethysmogram waveform analysis by fitting with Gaussians. aug: au: Rubins U Rubins, Uldis affil: Institute of Atomic Physics and Spectroscopy, University of Latvia, Raina Blvd. 19, Riga 1586, Latvia sug: subj: Ear, External Blood Supply Fingers Blood Supply Plethysmography Methods Adult Aged Algorithms Middle Age Physics Signal Processing, Computer Assisted Adult: 19-44 years Aged: 65+ years Middle Aged: 45-64 years ab: Analysis of the contour of the blood volume pulse (VP) has become important because it contains much information about cardiovascular activity. Traditionally, pulse contour analysis requires first or higher derivatives to be calculated. This paper describes a novel algorithm for analysing simultaneously measured ear and finger photoplethysmography (PPG) signals. The algorithm separates the systolic wave and the diastolic wave of the VP and fits each of them with the sum of two Gaussian functions. The VP was obtained from PPG signals taken from 40 healthy subjects at each heartbeat cycle. From the evaluated VP, time values of the direct wave and three reflected waves were calculated, as well as the augmentation index (AI) and the reflection index (RI). The evaluated parameters were compared with those that were obtained by the derivative method, and it was demonstrated that the new method can be used to analyze VP waveforms. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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