The purpose of this clinical study is to validate the SpO2 accuracy of the Stryker Sustainability Solutions pulse oximetry sensors during non-motion conditions over the range of 70-100% SaO2 as compared to arterial blood samples assessed by CO-Oximetry. The end goal is to provide supporting documentation for the SpO2 accuracy validation of the reprocessed sensors.
In this study, the level of oxygen within the blood will be reduced in a controlled manner by reducing the concentration of oxygen the participant breathes. The accuracy of a noninvasive pulse oximeter sensor will be assessed by comparison to the oxygen saturation measurements from a laboratory blood gas analyzer. It is required that the Accuracy Root Mean Square (ARMS) performance of the Stryker pulse oximetry sensors will meet a specification of +/-3% or better in non-motion conditions for the range of 70 - 100% SaO2 (typically, saturation is determined once with air breathing and then at one of 3 levels, e.g. 95%, 85%, and 75% saturation for about 30-60 seconds at each level), thereby demonstrating an acceptable SpO2 accuracy performance specification.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
OTHER
Masking
NONE
Enrollment
12
Reprocessed noninvasive pulse oximeter sensors.
UCSF Hypoxia Research Laboratory
San Francisco, California, United States
Accuracy of Sensor by Arms Calculation
Percentage of SpO2 (oxygen saturation by pulse oximetry) measured by the Reprocessed Oximeter pulse oximetry sensors during non-motion conditions over the range of 70-100% SaO2 as compared to arterial blood samples assessed by CO-Oximetry. Accuracy root mean square (ARMS) between measured SpO2 and reference SaO2 (arterial oxygen saturation) must meet the 3% specification for each reprocessed pulse oximetry sensor style. Accuracy will be determined by comparing the noninvasive blood oxygen saturation measurement of the pulse oximeter to that obtained from a blood sample and calculating the arithmetic root mean square error (Arms) value. Standard deviation of the differences is computed as the precision. Square root of the sum of the squares of bias and precision is computed as the Arms Error value.
Time frame: 1-2 hours
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