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Titolo:
Masimo signal extraction pulse oximetry
Autore:
Goldman, JM; Petterson, MT; Kopotic, RJ; Barker, SJ;
Indirizzi:
Masimo Corp, Irvine, CA 92614 USA Masimo Corp Irvine CA USA 92614Masimo Corp, Irvine, CA 92614 USA Univ Arizona, Sch Med, Dept Anesthesiol, Tucson, AZ 85724 USA Univ Arizona Tucson AZ USA 85724 , Dept Anesthesiol, Tucson, AZ 85724 USA
Titolo Testata:
JOURNAL OF CLINICAL MONITORING AND COMPUTING
fascicolo: 7, volume: 16, anno: 2000,
pagine: 475 - 483
SICI:
1387-1307(2000)16:7<475:MSEPO>2.0.ZU;2-D
Fonte:
ISI
Lingua:
ENG
Soggetto:
INTENSIVE-CARE UNIT; FALSE ALARMS; FREQUENCY; FAILURE; MOTION; PERFORMANCE; VOLUNTEERS; HYPOXEMIA;
Keywords:
pulse oximetry; motion artifact; oximetry/instrumentation/methods; signal processing, computer-assisted; adaptive filters; Masimo signal extraction pulse oximetry; signal extraction technology (SET (R));
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Citazioni:
33
Recensione:
Indirizzi per estratti:
Indirizzo: Goldman, JM Masimo Corp, 2852 Kelvin Ave, Irvine, CA 92614 USA Masimo Corp2852 Kelvin Ave Irvine CA USA 92614 , CA 92614 USA
Citazione:
J.M. Goldman et al., "Masimo signal extraction pulse oximetry", J CLIN M C, 16(7), 2000, pp. 475-483

Abstract

Objective. To describe a new pulse oximetry technology and measurement paradigm developed by Masimo Corporation. Introduction. Patient motion, poor tissue perfusion, excessive ambient light, and electrosurgical unit interference reduce conventional pulse oximeter (CPO) measurement integrity. Patient motion frequently generates erroneous pulse oximetry values for saturation and pulse rate. Motion-induced measurement error is due in part to widespread implementation of a theoretical pulse oximetry model which assumes that arterial blood is the only light-absorbing pulsatile component in the optical path. Methods. Masimo Signal Extraction Technology (SET (R)) pulse oximetry begins with conventional red and infrared photoplethysmographic signals, and then employs a constellation of advanced techniques including radiofrequency and light-shielded optical sensors, digital signal processing, and adaptive filtration, to measure SpO(2) accurately during challenging clinical conditions. In contrast to CPO which calculates O-2 saturation from the ratio of transmitted pulsatile red and infrared light, Masimo SET pulse oximetry uses a new conceptual model of light absorption for pulse oximetry and employs the discrete saturation transform (DST) to isolate individual "saturation components" in the optical pathway. Typically, when the tissue under analysis is stationary, only the single saturation component produced by pulsatile arterial blood is present. In contrast, during patient motion,movement of non-arterial components (for example, venous blood) can be identified as additional saturation components (with a lower O-2 saturation). When conditions of the Masimo model are met, the saturation component corresponding to the highest O-2 saturation is reported by the instrument as SpO(2). Conclusion. The technological strategies implemented in Masimo SET pulse oximetry effectively permit continuous monitoring of SpO(2) during challenging clinical conditions of motion and poor tissue perfusion.

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Documento generato il 01/10/20 alle ore 16:21:24