Deriving respiration from photoplethysmographic pulse width.
A method for deriving respiration from the pulse photoplethysmographic (PPG) signal is presented. This method is based on the pulse width variability (PWV), and it exploits the respiratory information present in the pulse wave velocity and dispersion. It allows to estimate respiration signal from on...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 51; no. 1/2; pp. 233 - 243 |
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| Autores principales: | , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Feb2013
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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=109855377&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 109855377 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Feb2013 vid: 51 iid: 1/2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 109855377 NLM22996834 2012019381 10.1007/s11517-012-0954-0 NLM22996834 109855377 ppf: 233 ppct: 10 formats: fmt: @attributes: type: P tig: atl: Deriving respiration from photoplethysmographic pulse width. aug: au: Lázaro, Jesús Gil, Eduardo Bailón, Raquel Mincholé, Ana Laguna, Pablo affil: Communications Technology Group (GTC), Aragón Institute of Engineering Research (I3A), IIS Aragón, Universidad de Zaragoza, Zaragoza, Spain, jlazarop@unizar.es. sug: subj: Plethysmography Methods Pulse Respiration Adult Female Male Signal Processing, Computer Assisted Time Factors Adult: 19-44 years Female Male ab: A method for deriving respiration from the pulse photoplethysmographic (PPG) signal is presented. This method is based on the pulse width variability (PWV), and it exploits the respiratory information present in the pulse wave velocity and dispersion. It allows to estimate respiration signal from only a pulse oximeter which is a cheap and comfortable sensor. Evaluation is performed over a database containing electrocardiogram (ECG), blood pressure (BP), PPG, and respiratory signals simultaneously recorded in 17 subjects during a tilt table test. Respiratory rate estimation error is computed obtaining of 1.27 ± 7.81% (0.14 ± 14.78 mHz). For comparison purposes, we have also obtained a respiratory rate estimation from other known methods which involve ECG, BP, or also PPG signals. In addition, we have also combined respiratory information derived from different methods which involve only PPG signal, obtaining a respiratory rate error of -0.17 ± 6.67% (-2.16 ± 12.69 mHz). The presented methods, PWV and combination of PPG derived respiration methods, avoid the need of ECG to derive respiration without degradation of the obtained estimates, so it is possible to have reliable respiration rate estimates from just the PPG signal. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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