Objective. To describe a new pulse oximetry technology and measurement para
digm developed by Masimo Corporation. Introduction. Patient motion, poor ti
ssue perfusion, excessive ambient light, and electrosurgical unit interfere
nce 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 widespr
ead implementation of a theoretical pulse oximetry model which assumes that
arterial blood is the only light-absorbing pulsatile component in the opti
cal path. Methods. Masimo Signal Extraction Technology (SET (R)) pulse oxim
etry begins with conventional red and infrared photoplethysmographic signal
s, and then employs a constellation of advanced techniques including radiof
requency and light-shielded optical sensors, digital signal processing, and
adaptive filtration, to measure SpO(2) accurately during challenging clini
cal conditions. In contrast to CPO which calculates O-2 saturation from the
ratio of transmitted pulsatile red and infrared light, Masimo SET pulse ox
imetry uses a new conceptual model of light absorption for pulse oximetry a
nd employs the discrete saturation transform (DST) to isolate individual "s
aturation components" in the optical pathway. Typically, when the tissue un
der analysis is stationary, only the single saturation component produced b
y pulsatile arterial blood is present. In contrast, during patient motion,
movement of non-arterial components (for example, venous blood) can be iden
tified as additional saturation components (with a lower O-2 saturation). W
hen conditions of the Masimo model are met, the saturation component corres
ponding to the highest O-2 saturation is reported by the instrument as SpO(
2). Conclusion. The technological strategies implemented in Masimo SET puls
e oximetry effectively permit continuous monitoring of SpO(2) during challe
nging clinical conditions of motion and poor tissue perfusion.