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510(k) Data Aggregation

    K Number
    K203196
    Device Name
    Peak flow meter
    Date Cleared
    2021-05-26

    (210 days)

    Product Code
    Regulation Number
    868.1860
    Reference & Predicate Devices
    Why did this record match?
    Applicant Name (Manufacturer) :

    Shanghai Sonmol Medical Equipment Co., Ltd.

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

    This device is intended to monitor a patient's Peak Expiratory Flow (PEF) and Forced Expiratory Volume in one second (FEV1) at home. The device is designed for adults and children over 5 years of age with caregiver supervision. The device is intended for monitoring respiratory conditions such as asthma. The device is for Over-The-Counter Use.

    Device Description

    The Peak flow meter is composed of Main Unit and Mouthpiece.
    Mouthpiece: Mouth blowing.
    Main Unit: Containing a segment LCD, a pressure sensor and a Microcontroller Unit.
    The pressure sensor records the gas flow rate in real time and delivers to MCU for processing, to get the flow volume of gas and volume, after the measurement, LCD displays the measurement results.

    AI/ML Overview

    The provided document describes the Shanghai Sonmol Medical Equipment Co., Ltd. Peak Flow Meter (models SMPF-2S, SMPF-3A) and its substantial equivalence to a predicate device. Below is a breakdown of the acceptance criteria and study information:

    1. Table of Acceptance Criteria and Reported Device Performance

    The document refers to performance tests conducted according to the American Thoracic Society Standard of Spirometry (2005 Revision). The acceptance criteria are implicit in the accuracy specifications, which are compared to the predicate device.

    ParameterAcceptance Criteria (Targeted Device)Reported Device Performance (Targeted Device)
    Accuracy (PEF)±10% or ±18 L/min (whichever is greater)Meets criteria (comparable to predicate K191239)
    Accuracy (FEV1)±3% or ±0.05L (whichever is greater)Meets criteria (comparable to predicate K191239)
    Measuring Range (PEF)60 L/min ~ 840 L/minMeets criteria (overlaps predicate K191239 and reference K053156)
    Measuring Range (FEV1)0.5L ~ 8LMeets criteria (similar to reference K053156)
    Measuring Resolution (PEF)1 L/minMeets criteria (identical to predicate K191239; better than reference K053156)
    Measuring Resolution (FEV1)0.01LMeets criteria (identical to predicate K191239; better than reference K053156)
    Intra-instrument RepeatabilityMeets requirements in standards (implicit in performance test claim)Meets criteria
    Inter-instrument Repeatability (PEF)Meets requirements in standards (implicit in performance test claim)Meets criteria
    Electrical SafetyConformance to IEC 60601-1 and IEC 60601-1-11Passed tests
    EMCConformance to IEC 60601-1-2Passed tests
    BiocompatibilityConformance to ISO 10993-1Passed tests
    Software Verification & ValidationSoftware functions as specified in requirements (for "moderate" level of concern)Validated
    Human FactorsDevice and application are as safe and effective as predicateStudy results demonstrate conformance

    2. Sample Size Used for the Test Set and Data Provenance

    The document does not explicitly state the sample size for the performance test set. It mentions "Performance test has also been conducted to verify the measurement accuracy, intra instrument repeatability, PEF inter instrument repeatability and performance of the device according to American Thoracic Society Standard of Spirometry (2005 Revision)."

    The data provenance is not explicitly mentioned as country of origin, retrospective or prospective. However, based on the context of a 510(k) submission, these would typically be controlled laboratory or simulated environment tests, not involving human patient data collection in a clinical setting in the same way a clinical trial would.

    3. Number of Experts Used to Establish the Ground Truth for the Test Set and Qualifications of Those Experts

    This information is not provided in the document. The performance tests appear to be based on engineering and standardized testing rather than expert-established ground truth from clinical cases.

    4. Adjudication Method for the Test Set

    Adjudication methods (e.g., 2+1, 3+1, none) are not applicable or mentioned as the testing performed is based on direct measurement validation against established standards for spirometry devices, not interpretation by human readers.

    5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study Was Done

    No, an MRMC comparative effectiveness study was not done. The device is a measurement instrument, not an AI diagnostic tool that assists human readers in interpreting images or data.

    6. If a Standalone Study (Algorithm Only Without Human-in-the-Loop Performance) Was Done

    While not an "algorithm" in the AI sense, the performance tests (accuracy, repeatability, range) are essentially standalone studies of the device's measurement capabilities. The device is intended for direct measurement by the patient/user, not for interpretation by a human-in-the-loop in a collaborative diagnostic setting.

    7. The Type of Ground Truth Used

    The ground truth for the performance tests appears to be based on:

    • Established physical standards: The American Thoracic Society Standard of Spirometry (2005 Revision) provides the specifications for expected performance.
    • Reference measurements: The accuracy and range are compared against predicate and reference devices, implying a standard of truth is upheld by these devices or by the testing methodologies described in the ATS standard.
    • Engineering specifications: The device is tested against its own design specifications and regulatory standards (e.g., IEC 60601 series).

    8. The Sample Size for the Training Set

    This information is not applicable and not provided. The device is a hardware measurement tool; it does not involve a "training set" in the context of machine learning algorithms.

    9. How the Ground Truth for the Training Set Was Established

    This information is not applicable and not provided, as there is no machine learning training set for this device.

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