Detection of cardiovascular risk from a photoplethysmographic signal using a matching pursuit algorithm.
Cardiovascular disease is the main cause of death in Europe, and early detection of increased cardiovascular risk (CR) is of clinical importance. Pulse wave analysis based on pulse oximetry has proven useful for the recognition of increased CR. The current study provides a detailed description of th...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 54; no. 7; pp. 1111 - 1122 |
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| Autores principales: | , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Jul2016
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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=116194405&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 116194405 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Jul2016 vid: 54 iid: 7 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 116194405 116194405 NLM26538425 116194405 10.1007/s11517-015-1410-8 NLM26538425 116194405 ppf: 1111 ppct: 11 formats: fmt: @attributes: type: P tig: atl: Detection of cardiovascular risk from a photoplethysmographic signal using a matching pursuit algorithm. aug: au: Sommermeyer, Dirk Zou, Ding Ficker, Joachim Randerath, Winfried Fischer, Christoph Penzel, Thomas Sanner, Bernd Hedner, Jan Grote, Ludger Ficker, Joachim H affil: Department of Internal Medicine and Clinical Nutrition, Center for Sleep and Vigilance Disorders, Sahlgrenska Academy, University of Gothenburg, Gothenburg Sweden sug: subj: Plethysmography Methods Signal Processing, Computer Assisted Sleep Apnea Syndromes Physiopathology Algorithms Cardiovascular Diseases Diagnosis Human Adult Cardiovascular Diseases Physiopathology Heart Rate Atherosclerosis Physiopathology Female Male Aged Risk Factors Cardiovascular System Physiology Middle Age Validation Studies Comparative Studies Evaluation Research Multicenter Studies Adult: 19-44 years Aged: 65+ years Middle Aged: 45-64 years Female Male ab: Cardiovascular disease is the main cause of death in Europe, and early detection of increased cardiovascular risk (CR) is of clinical importance. Pulse wave analysis based on pulse oximetry has proven useful for the recognition of increased CR. The current study provides a detailed description of the pulse wave analysis technology and its clinical application. A novel matching pursuit-based feature extraction algorithm was applied for signal decomposition of the overnight photoplethysmographic pulse wave signals obtained by a single-pulse oximeter sensor. The algorithm computes nine parameters (pulse index, SpO2 index, pulse wave amplitude index, respiratory-related pulse oscillations, pulse propagation time, periodic and symmetric desaturations, time under 90 % SpO2, difference between pulse and SpO2 index, and arrhythmia). The technology was applied in 631 patients referred for a sleep study with suspected sleep apnea. The technical failure rate was 1.4 %. Anthropometric data like age and BMI correlated significantly with measures of vascular stiffness and pulse rate variability (PPT and age r = -0.54, p < 0.001, PR and age r = -0.36, p < 0.01). The composite biosignal risk score showed a dose-response relationship with the number of CR factors (p < 0.001) and was further elevated in patients with sleep apnea (AHI ≥ 15n/h; p < 0.001). The developed algorithm extracts meaningful parameters indicative of cardiorespiratory and autonomic nervous system function and dysfunction in patients suspected of SDB. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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