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SpO2 Accuracy of Noninvasive Disposable Pulse Oximeter Sensor With Motion Conditions

SpO2 Accuracy of Noninvasive Disposable Pulse Oximeter Sensor With Motion Conditions

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05264116
Enrollment
12
Registered
2022-03-03
Start date
2022-02-02
Completion date
2022-02-03
Last updated
2025-05-20

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Healthy, Hypoxia

Brief summary

The purpose of this clinical study is to validate the SpO2 accuracy of the Stryker Sustainability Solutions pulse oximetry sensors during 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.

Detailed description

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 motion conditions for the range of 70 - 100% SaO2 (typically, saturation is determined once with air breathing and then at one of 6 levels, e.g. 94%, 90%, 85%, 80%, 75% and 70% saturation for about 30-60 seconds at each level), thereby demonstrating an acceptable SpO2 accuracy performance specification. Motion is defined as controlled rubbing or tapping of the subject's fingers in a 2-4 Hz or random sine motion with 2-3 cm amplitude.

Interventions

Reprocessed noninvasive pulse oximeter sensors.

Sponsors

University of California, San Francisco
CollaboratorOTHER
Stryker Sustainability Solutions
Lead SponsorINDUSTRY

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
OTHER
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to 55 Years
Healthy volunteers
Yes

Inclusion criteria

* Good general health with no evidence of pre-existing medical problems * Fluent in both written and spoken English * Must be able to review informed consent and is willing to comply with study procedures

Exclusion criteria

* Obesity (BMI \>30) * Known history of heart disease, lung disease, kidney or liver disease * Prior diagnosis of asthma, sleep apnea, or use of CPAP * Diabetes * Clotting disorder * Hemoglobinopathy or history of anemia that in the opinion of the investigators would make them unsuitable for study participation * Any serious systemic illness * Current smoker * Any injury, deformity, or abnormality at the sensor sites that in the opinion of the investigator would interfere with the sensors working correctly * History of fainting or vasovagal response * History of sensitivity to local anesthesia * Prior diagnosis of Raynaud's disease * Unacceptable collateral circulation based on exam by investigators (Allen's test) * Pregnant, lactating, or trying to get pregnant * Unable or unwilling to provide informed consent, or unable or unwilling to comply with study procedures * Any other condition which in the opinion of the investigators would make them unsuitable for the study

Design outcomes

Primary

MeasureTime frameDescription
Accuracy of Sensor by Arms Calculation Under Motion Conditions1-2 hoursPercentage of SpO2 (oxygen saturation by pulse oximetry) measured by the Reprocessed Oximeter pulse oximetry sensors during 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.

Countries

United States

Participant flow

Participants by arm

ArmCount
Healthy Adult Participants
All participants are enrolled in the test group and receive the noninvasive adhesive reprocessed pulse oximeter sensors. STRYKER SUSTAINABILITY SOLUTIONS PULSE OXIMETERS: Reprocessed noninvasive pulse oximeter sensors.
12
Total12

Baseline characteristics

CharacteristicHealthy Adult Participants
Age, Categorical
<=18 years
0 Participants
Age, Categorical
>=65 years
0 Participants
Age, Categorical
Between 18 and 65 years
12 Participants
Race/Ethnicity, Customized
Asian
2 Participants
Race/Ethnicity, Customized
Black or African American
2 Participants
Race/Ethnicity, Customized
Caucasian
5 Participants
Race/Ethnicity, Customized
Hispanic
2 Participants
Race/Ethnicity, Customized
Multiethnic
1 Participants
Region of Enrollment
United States
12 participants
Sex: Female, Male
Female
6 Participants
Sex: Female, Male
Male
6 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
0 / 120 / 12
other
Total, other adverse events
0 / 120 / 12
serious
Total, serious adverse events
0 / 120 / 12

Outcome results

Primary

Accuracy of Sensor by Arms Calculation Under Motion Conditions

Percentage of SpO2 (oxygen saturation by pulse oximetry) measured by the Reprocessed Oximeter pulse oximetry sensors during 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

ArmMeasureValue (NUMBER)
Device 1Accuracy of Sensor by Arms Calculation Under Motion Conditions2.80 Root Mean Square Error (%)
Device 2Accuracy of Sensor by Arms Calculation Under Motion Conditions2.66 Root Mean Square Error (%)

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026