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510(k) Data Aggregation

    K Number
    K001528
    Device Name
    PC FLOW +
    Date Cleared
    2001-01-18

    (246 days)

    Product Code
    Regulation Number
    868.1840
    Reference & Predicate Devices
    N/A
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use
    Device Description
    AI/ML Overview
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    K Number
    K982956
    Date Cleared
    1998-11-24

    (92 days)

    Product Code
    Regulation Number
    868.1840
    Reference & Predicate Devices
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    Intended use for the Flowmate II PLUS is for Pulmonary Function Testing (measuring a person's ability to move air into and out of their lungs). The volume and flow rates measured for the effort and then reported as numerical results with a printout of the results if selected.

    Indications For Use: Pulmonary Function Testing

    Diagnostic

    To evaluate symptoms, signs, or abnormal laboratory tests

    • Symptoms: dyspnea, wheezing, orthopnea, cough, phlegm production, chest pain
    • Signs: diminished breath sounds, overinflation, expiratory slowing, cyanosis, chest deformity, unexplained crackles
    • Abnormal laboratory tests: hypoxemia, hypercapnia, polycythemia, abnormal chest radiographs

    To measure the effects of disease on pulmonary function

    To screen individuals at risk of having pulmonary diseases

    • Smokers
    • Individuals in occupations with exposures to injurious substances
    • Some routine physical examinations
    • To assess preoperative risk
    • To assess prognosis (lung transplant, etc.)
    • To assess health status before enrollment in strenuous phsical activity programs

    Monitoring

    To assess therapeutic interventions

    • Bronchodilator therapy
    • Steroid treatment for asthma, interstitial lung disease, etc.
    • Management of congestive heart failure
    • Other (antibiotics in cystic fibrosis, etc.)
    • To describe the course of diseases affecting lung function
    • Pulmonary diseases
    • Obstructive airways diseases
    • Interstitial lung diseases
    • Cardiac diseases
      Congestive heart failure
    • Neuromuscular diseases
      Guillain-Barré

    To monitor persons in occupations with exposure to injurious agents

    To monitor for adverse reactions to drugs with known pulmonary toxicity

    Disability / Impairment Evaluations

    To assess patients as part of a rehabilitation program

    • Medical
    • Industrial
    • Vocational

    To assess risks as part of an insurance evaluation

    To assess individuals for legal reasons

    • Social Security or other government compensation programs
    • Personal injury lawsuits
    • Others

    Public Health

    Epidemiologic surveys

    • Comparison of health status of populations living in different environments
    • Validation of subjective complaints in occupational / environmental settings Derivation of reference equations
    Device Description

    Flow sensing pneumotach and base that measures differential pressure as air passes through it (the same principle as the Flowmate LTE, Flowmate, and PC Flow + devices)
    Desktop design molded from high impact UL rated ABS plastic
    Automatic calculations of test results, and best test selection based on American Thoracic Society (ATS) criteria
    Testing capabilities include; FVC, FEV1, FEV3, FEV1/FVC%, FEF.2-1.2, FEF25-75%, FEF75-85, PEF, FEF50, FIVC, FEF50/FIF50, PIF, MVV, Methacholine Challenge, and Lung Age
    Testing Capabilities: Capacity 10 Liters
    Volume Accuracy +/- 3% Max. Flow Rate +/- 16 L/s
    Back Pressure Less than 1.5 cm H2O
    Population Predicted Normals included: Composite Knudson - 1976 Knudson - 1983 Crapo (ITS) ECCS Hsu Lam
    Customization allows user to change report format, input temperature and barometric readings, and select internal / external printer and associated driver for printer selected
    Reports printed on thermal paper 112mm wide or standard 8 1/2 " x 11" paper
    Field calibration with a 1 to 9 Liter calibration syringe
    Cross-contamination control via external filter system

    AI/ML Overview

    The provided document is a 510(k) summary for the Flowmate II PLUS diagnostic spirometer. It describes the device's intended use, its substantial equivalence to predicate devices, and the performance testing conducted.

    Here's an analysis of the acceptance criteria and study information based on the provided text:

    Acceptance Criteria and Device Performance

    The primary acceptance criteria are based on conformance with the American Thoracic Society (ATS) 1994 Spirometry criteria. The document explicitly states: "Performance Standard: None applicable from FDA, used conformance with American Thoracic Society (ATS) 1994 Spirometry criteria."

    Acceptance Criteria (Based on ATS 1994)Reported Device Performance (Flowmate II PLUS)
    FVC Accuracy and PrecisionExceeded ATS recommendations
    FEV1 Accuracy and PrecisionExceeded ATS recommendations
    FEF25-75 Accuracy and PrecisionExceeded ATS recommendations
    PEF Accuracy and PrecisionExceeded ATS recommendations
    MVV Accuracy and PrecisionAcceptable results (compared to ATS criteria)
    Volume Accuracy+/- 3%
    Max. Flow Rate+/- 16 L/s
    Back PressureLess than 1.5 cm H2O

    Note: The document only states that the device "exceeded" ATS recommendations for FVC, FEV1, FEF25-75, and PEF accuracy and precision, rather than providing specific numerical targets for the ATS criteria. For MVV, it states "acceptable results compared with the ATS criteria." The specific numerical acceptance criteria from ATS 1994 are not detailed in this document.

    Study Information

    1. Sample size used for the test set and the data provenance:

    • Sample Size:
      • For FVC, FEV1, FEF25-75, and PEF accuracy and precision: 24 waveforms (under BTPS conditions), and 26 PEF waveforms.
      • For FVC, FIVC, PEF, and PIF accuracy and precision (exponential waveforms): Four progressively faster exponential waveforms.
      • For MVV testing: Not explicitly stated, but implies multiple tests with simulated MVV waveforms.
    • Data Provenance: The tests were conducted using a "Pulmonary Waveform Generator (PWG)." This indicates the data is simulated/synthetic (generated by a machine), not from human subjects. The country of origin of this simulated data is not specified, but it's likely created in the US given the company's location.

    2. Number of experts used to establish the ground truth for the test set and the qualifications of those experts:

    • No human experts were used to establish the ground truth for the test set. The ground truth was established by the known inputs/outputs of the Pulmonary Waveform Generator (PWG) and physical measurements (e.g., a 3-liter syringe for volume accuracy).

    3. Adjudication method for the test set:

    • Not applicable/None. The ground truth was based on the objective outputs of the PWG and known physical inputs, not on expert consensus requiring adjudication.

    4. 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:

    • No. This is a performance study for a diagnostic spirometer, which primarily measures physiological parameters. It is not an AI-assisted diagnostic tool that would involve human readers interpreting images or data alongside AI. Therefore, an MRMC study is not relevant here.

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

    • Yes, implicitly. The entire performance testing described was "standalone." The device (Flowmate II PLUS) was tested against a Pulmonary Waveform Generator (PWG) and physical inputs (like a calibration syringe) to assess its accuracy and precision in measuring various spirometric parameters. This represents the algorithm/device's performance without human interaction in the measurement process itself, beyond setup and data collection.

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

    • Known physical inputs/outputs and pre-defined standards.
      • For volume accuracy, a known 3-liter syringe input was used.
      • For waveforms (FVC, FEV1, PEF, etc.), the "known" characteristics of the waveforms generated by the Pulmonary Waveform Generator (PWG) served as the ground truth.
      • The ATS 1994 Spirometry criteria served as the benchmark for acceptable performance.

    7. The sample size for the training set:

    • Not applicable. This device is a measurement instrument, not an AI/machine learning algorithm that requires a "training set" in the conventional sense. Its functionality is based on physical principles (differential pressure measurement) and programmed calculations, not learned patterns from data.

    8. How the ground truth for the training set was established:

    • Not applicable, as there is no training set for this type of device.
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    K Number
    K954759
    Device Name
    FLOWMATE LTE
    Date Cleared
    1996-04-12

    (178 days)

    Product Code
    Regulation Number
    868.1840
    Reference & Predicate Devices
    Predicate For
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    Intended use for the Flowmate LTE is for Pulmonary Function Testing (measuring a person's ability to move air into and out of their lungs). The volume and flow rates measured for the entire effort and then reported as numerical results with a printout of the effort if selected.

    Device Description

    Flow sensing pneumotach and base that measures differential pressure as air passes through it (the same principle as the Flowmate, PC Flow +, Renaissance, and Flash devices)
    Compact design molded from high impact UL rated ABS plastic. rechargeable Ni-Cad batteries for portable operation,
    Automatic calculations of test results, and best test selection based on ATS criteria
    Testing capabilities include; FVC, FEV1, FEV3, FEV1/FVC%, FEF.2-1.2, FEF25-75%, FEF75-85, PEF, FEF50, FIVC, FEF50/FIF50, PIF, MVV, Methacholine Challenge, and Lung Age
    Testing Capabilities: Capacity 10 Liters
    Volume Accuracy +/- 3% Max. Flow Rate +/- 16 L/s
    Back Pressure Less than 1.5 cm H2O
    Population Predicted Normals included: Composite Knudson Crapo (ITS) ECCS HSU
    Customization allows user to change report format, input temperature and barometric readings, and select printer driver for printer being used
    Reports printed on standard 8 1/2 " x 11" paper
    Field calibration with a 1 to 9 Liter calibration syringe
    Cross-contamination control via external filter system

    AI/ML Overview

    Here's an analysis of the provided text regarding the acceptance criteria and study for the Flowmate LTE device:

    Acceptance Criteria and Device Performance

    Acceptance CriteriaReported Device Performance
    Volume Accuracy+/- 3%
    Max. Flow Rate+/- 16 L/s
    Back PressureLess than 1.5 cm H2O
    FVC AccuracyExceeded ATS recommendations at 23 out of 24 waveforms. At waveform #17 (which exceeds the device's 15-second recording limit), accuracy was -1.8% at the 15-second mark, which is within ATS recommendations.
    FEV1 AccuracyExceeded ATS recommendations at 23 out of 24 waveforms.
    FEF 25-75 AccuracyExceeded ATS recommendations at 23 out of 24 waveforms.
    PEF AccuracyExceeded ATS recommendations at 23 out of 24 waveforms.
    MVV AccuracyAcceptable results compared with ATS criteria for accuracy and precision to delivered values.

    Study Information

    2. Sample size used for the test set and the data provenance:

    • Test Set Sample Size:
      • Waveform Performance Testing: 24 waveforms were used.
      • MVV Testing: A 2-liter volume at flow rates from 40 to 245 L/M was used. The number of specific tests or readings performed is not specified, but it refers to a range of flow rates.
    • Data Provenance: The document does not explicitly state the country of origin or if the data was retrospective or prospective. The testing appears to be laboratory-based performance testing rather than human clinical data.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts:

    • The ground truth for the test set (waveforms and MVV) was established based on "ATS recommendations" and "delivered values" from a 2-liter calibration syringe. No human experts are mentioned as directly establishing the ground truth for these performance tests.

    4. Adjudication method for the test set:

    • Not applicable, as the ground truth was based on pre-defined standards (ATS recommendations) and objective measurements from a calibration syringe, not on 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:

    • No, a multi-reader multi-case comparative effectiveness study was not done. This device is a diagnostic spirometer, which directly measures physiological parameters, not an AI-powered image analysis or diagnostic support tool that would typically involve human readers.

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

    • Yes, the performance testing described for the Flowmate LTE is a standalone performance study. The device's measurements (volume, flow rates) are directly compared against established standards (ATS recommendations) and known delivered values (from a calibration syringe). There is no "human-in-the-loop" aspect to the performance evaluation itself, though the device is intended for human use.

    7. The type of ground truth used:

    • The ground truth used was based on expert consensus standards (ATS recommendations for FVC, FEV1, FEF 25-75, PEF, MVV accuracy and precision) and objective measurements from a calibrated device (a 1 to 9 Liter calibration syringe for field calibration, and a 2-liter volume for MVV testing).

    8. The sample size for the training set:

    • The document does not describe a "training set" in the context of machine learning or AI. This device appears to be a hardware-based medical device with integrated software for calculations, not a learning-based algorithm that requires a training set.

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

    • Not applicable, as there is no mention of a training set for a machine learning algorithm.
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