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510(k) Data Aggregation

    K Number
    K024235
    Date Cleared
    2003-03-17

    (84 days)

    Product Code
    Regulation Number
    870.2700
    Reference & Predicate Devices
    N/A
    Why did this record match?
    Device Name :

    DOLPHIN MEDICAL STAND-ALONE PULSE OXIMETER

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The Dolphin Medical 2100 Pulse Oximeter is intended for continuous nonitoring of functional oxygen saturation of arterial hemoglobin (SpO-) and pulse rate (measured by an SpO2 sensor).

    Device Description

    The Dolphin Medical Pulse Oximeter Model 2100 and Accessories is a portable stand-alone device, connecting cable, and oximetry sensor(s) to noninvasively calculate the functional oxygen saturation of arterial hemoglobin (SpO2) and pulse rate for adult, pediatric and neonatal patients.

    AI/ML Overview

    The document provided is a 510(k) summary for the Dolphin Medical 2100 Pulse Oximeter, which is a medical device regulation submission to the FDA. It outlines the product's intended use, predicate devices, and compliance with various standards. However, it does not contain the detailed study information required to answer many of your specific questions regarding acceptance criteria, device performance, sample sizes, expert involvement, and ground truth establishment.

    A 510(k) summary typically focuses on demonstrating substantial equivalence to a legally marketed predicate device rather than providing a detailed clinical study report with specific performance metrics and study design details as might be found in a clinical trial publication.

    Based on the provided text, here’s what can be extracted and what cannot:

    1. A table of acceptance criteria and the reported device performance

    • Cannot be created. The document mentions compliance with standards like ISO 9919:1992 and EN 865:1997, and the FDA Guidance Document for Pulse Oximeters: 9/7/1992. These standards and guidance documents define the acceptance criteria for pulse oximeters (e.g., accuracy against a co-oximeter in induced hypoxia studies). However, the actual acceptance criteria values (e.g., A_rms value) and the reported device performance values against these criteria are not present in this 510(k) summary. The summary only states that the device has been "designed to comply" and implies that "additional performance validation testing has been performed," but it does not present the results of that testing or the specific acceptance thresholds.

    2. Sample size used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective)

    • Cannot be determined. The document mentions "additional performance validation testing" for certain sensor models but provides no details about the sample size, the nature of the test set (e.g., number of subjects, type of patients), or data provenance (e.g., country, retrospective/prospective).

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts (e.g. radiologist with 10 years of experience)

    • Not applicable/Cannot be determined. For pulse oximeters, the "ground truth" for SpO2 accuracy is typically established by arterial blood gas analysis using a co-oximeter during controlled desaturation studies, not by human experts interpreting data. The document does not mention any role for human experts in establishing ground truth for performance testing.

    4. Adjudication method (e.g. 2+1, 3+1, none) for the test set

    • Not applicable. Adjudication methods like 2+1 or 3+1 are typically used in studies where human readers interpret medical images or data and their interpretations need to be reconciled to establish a consensus ground truth. This is not how pulse oximeter performance accuracy is determined.

    5. If a multi reader multi case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance

    • Not applicable. This device is a standalone pulse oximeter, not an AI-powered diagnostic tool that assists human readers. Therefore, an MRMC study comparing human reader performance with and without AI assistance is not relevant to this device.

    6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done

    • Yes, implicitly. A pulse oximeter by nature is a standalone device that provides a measurement (SpO2 and pulse rate) without human interpretation in the loop to determine the primary output. The document states its intended use is for "continuous noninvasive monitoring." The performance validation mentioned would evaluate the accuracy of this standalone measurement against a reference standard.

    7. The type of ground truth used (expert consensus, pathology, outcomes data, etc)

    • Implicitly, a reference standard for physiological measurement. For pulse oximeters, the ground truth for SpO2 accuracy is established by a reference method, typically an invasive co-oximetry measurement of arterial blood samples, often performed during controlled desaturation studies in human volunteers. The document does not explicitly state this, but it is the standard method for SpO2 accuracy testing as per relevant standards (e.g., ISO 9919, EN 865, FDA Guidance 1992 mentioned).

    8. The sample size for the training set

    • Not applicable/Cannot be determined. Traditional pulse oximeters use established optical principles and signal processing algorithms, not machine learning or AI that requires a "training set" in the common sense of the term. While algorithms are part of the device, they are typically developed using engineering principles and validated, not "trained" on a dataset in the way a neural network would be. The document does not mention any training set.

    9. How the ground truth for the training set was established

    • Not applicable. As above, the concept of a "training set" and its associated ground truth establishment is not relevant to this type of traditional medical device, particularly as described in this 510(k) summary.
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    K Number
    K021959
    Date Cleared
    2002-07-11

    (27 days)

    Product Code
    Regulation Number
    870.2700
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    DOLPHIN MEDICAL STAND-ALONE PULSE OXIMETER, MODEL 2100

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The Dolphin Medical Stand-Alone Pulse Oximeter, Model No. 2100 and Accessories are indicated for the continuous noninvasive monitoring of functional oxygen saturation of arterial hemoglobin (SpO₂) and pulse rate (measured by an SpO2 sensor).

    Device Description

    The Dolphin Medical Pulse Oximeter Model 2100 and Accessories is a portable stand-alone device, connecting cable, and oximetry sensor(s) to noninvasively calculate the functional oxygen saturation of arterial hemoglobin (SpO2) and pulse rate for adult, pediatric and neonatal patients. The monitor consists of a screen that displays the pulse plethysmographic waveform, the pulse rate, SpOz value, the high and low SpO2 and pulse rate alarms, trends and status messages. It contains the electronic hardware and software that receives and calculates the signals from the LEDs within the sensor to determine the functional oxygen saturation of arterial hemoglobin (SpO-) and pulse rate, and provide for the connection to the connecting cable. The Dolphin Medical Pulse Oximeter Model 2100 is available in one configuration as a portable standalone oximeter that is 10 cm / 3.94 inches high, 27.5 cm / 10.83 inches wide, 25 cm / 9.84 inches deep and weighs about 4 kg / 8,8 lbs. The unit is powered either with a voltage input of 100-240 Vac. 50-60 Hz or with a sealed lead-acid battery with an operating time of approximately 4 hours based upon 2 Ampere hour battery (200mA OEM Module) and a charge time of about 4,5 hours to 80% capacity. The extension cable connects between the monitor and oximetry sensor(s) and transfers LED drive power and the calibration drive to the oximetry sensor from the monitor receives the detector signal from the oximetry sensor. The extension cable is available in one configuration and is approximately 8 feet / 2.44m in length, and the sensor(s) are approximately 18 inches / 45.72 cm in lenath. The sensor(s) measure light absorption of blood from two light emitting diodes (LED's). Oxygen saturated blood absorbs light differently as compared to unsaturated blood. The amount of light absorbed by the blood is used to calculate the ratio of oxygenated hemoglobin to total hemoglobin in arterial blood, The oximetry sensor is available in either a disposable configuration, and with one configuration for the extension cable (8 feet).

    AI/ML Overview

    The Dolphin Medical 2100 Pulse Oximeter and Accessories were evaluated for continuous noninvasive monitoring of functional oxygen saturation of arterial hemoglobin (SpO2) and pulse rate. The information provided heavily emphasizes regulatory compliance and substantial equivalence to previously marketed devices, rather than a detailed standalone performance study.

    1. A table of acceptance criteria and the reported device performance

    Based on the provided text, specific numerical acceptance criteria and direct reported performance metrics (e.g., accuracy +/- X%) are not explicitly stated. However, the document refers to compliance with several standards, including FDA Guidance Document for Pulse Oximeters: 9/7/1992 and EN 865:1997. These standards typically define accuracy requirements for pulse oximeters. Without access to the specific content of these standards and the detailed testing reports, precise numerical acceptance criteria cannot be extracted.

    Implicit Acceptance Criteria (based on standards listed):

    • Accuracy for SpO2: Based on the FDA Guidance Document for Pulse Oximeters, this would typically involve a root mean square (Arms) difference between the pulse oximeter reading and a co-oximeter reference within a specified range (e.g., ±2% or ±3% for 70-100% SpO2 in adults, and potentially different for neonates).
    • Accuracy for Pulse Rate: Typically defined as a range of difference (e.g., ±3 bpm or ±2% of reading) compared to an ECG reference.
    • Performance in Motion and Low Perfusion: Testing would ensure the device maintains accuracy under these challenging conditions, again with specified accuracy limits.
    • Safety and EMC Standards Compliance: As indicated by compliance with a long list of IEC, CSA, UL, and other standards.

    Reported Device Performance:
    The document states: "Additional performance validation testing has been performed for the 560 neonatal disposable sensor and has been included in this submission." However, the results of this testing, including specific accuracy figures or performance data, are not provided in this summary. The document primarily asserts "substantial equivalence" to predicate devices, implying that its performance meets the level demonstrated by those devices, which would have adhered to the same general performance standards.

    2. Sample size used for the test set and the data provenance (e.g., country of origin of the data, retrospective or prospective)

    The document does not specify the sample size for any test set or the data provenance (e.g., country of origin, retrospective/prospective nature) for the performance validation testing mentioned for the neonatal sensor.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts (e.g., radiologist with 10 years of experience)

    Given that this is a pulse oximeter, ground truth for performance testing is typically established using a co-oximeter for SpO2 and an ECG device for pulse rate, rather than human experts interpreting data. The document does not mention human experts being used to establish ground truth for performance testing. If studies involved human subjects, medical professionals would be involved in monitoring, but not typically in "establishing ground truth" in the way an expert panel would for image interpretation.

    4. Adjudication method (e.g., 2+1, 3+1, none) for the test set

    Not applicable, as ground truth is established by objective measurement devices (co-oximeter, ECG) rather than human interpretation requiring adjudication.

    5. If a multi reader multi case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance

    Not applicable. This device is a standalone medical device (pulse oximeter) for direct measurement, not an AI-assisted diagnostic tool that would involve human readers or image interpretation.

    6. If a standalone (i.e. algorithm only without human-in-the loop performance) was done

    Yes, the device is intrinsically standalone. A pulse oximeter provides direct measurements (SpO2 and pulse rate) without requiring human interpretation of complex outputs in the way an AI-driven image analysis system would. The performance validation testing would be on the algorithm's ability to accurately calculate these parameters based on the sensor's optical signals. The document implicitly supports this by stating it "receives and calculates the signals from the LEDs within the sensor to determine the functional oxygen saturation of arterial hemoglobin (SpO2) and pulse rate".

    7. The type of ground truth used (expert consensus, pathology, outcomes data, etc.)

    For pulse oximeters, the accepted gold standard (ground truth) for SpO2 accuracy is typically:

    • Co-oximetry: Direct measurement of arterial oxygen saturation (SaO2) from arterial blood samples using a laboratory co-oximeter. This is usually performed during a "hypoxia study" where subjects' oxygen levels are carefully lowered.
    • Electrocardiogram (ECG): For pulse rate, an ECG device is the gold standard.

    The document refers to "performance validation testing" and compliance with standards like the "FDA Guidance Document for Pulse Oximeters: 9/7/1992" and "EN 865: 1997", both of which mandate the use of co-oximetry and ECG for establishing ground truth during such studies.

    8. The sample size for the training set

    The document does not provide any information regarding a training set sample size. Given this is a 510(k) submission for a traditional medical device (pulse oximeter), the concept of a "training set" in the context of machine learning algorithms is likely not directly applicable in the way it would be for AI/ML-driven devices. While the device contains electronic hardware and software, the development process might involve calibration and optimization using engineering data rather than a distinct "training set" as defined for AI models.

    9. How the ground truth for the training set was established

    As there is no mention of a distinct "training set" in the context of AI/ML, this information is not provided. For traditional medical device development, internal validation and calibration would occur using established measurement methods, but the document does not elaborate on these details.

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