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510(k) Data Aggregation

    K Number
    K061279
    Date Cleared
    2006-08-18

    (102 days)

    Product Code
    Regulation Number
    870.1130
    Reference & Predicate Devices
    Predicate For
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The Shanghai Little Doctor LD-578 Fully Automatic Digital Blood Pressure Monitor, is a device intended to measure the systelic and diastolic blood pressure and pulse rate of an adult individual by using a non-invasive technique in which an inflatable cuff is wrapped around the upper arm.

    Device Description

    The LD-578 Fully Automatic Digital Blood Pressure Monitor, Model LD-578 is designed to measure the systolic and diastolic blood pressure and pulse rate of an individual by using a non-invasive technique in which an inflatable cuff is wrapped around the Upper arm. Our method to define systolic and diastolic pressure is similar to the auscultatory method but uses an electronic semiconductor sensor rather than a stethoscope and mercury manometer. The sensor converts tiny alterations in cuff pressure to electrical signals, by analyzing those signals to define the systolic and diastolic blood pressure and calculating pulse rate, which is a well-known technique in the market called the "oscillometric method".

    AI/ML Overview

    The provided text outlines the acceptance criteria and the study conducted for the LD-578 Fully Automatic Digital Blood Pressure Monitor.

    1. Table of Acceptance Criteria and Reported Device Performance

    Acceptance Criteria (Standard)Reported Device Performance (Reference)
    Clinical Performance:
    Clinical Data and Analysis ANSI/AAMI-SP-1000 Standard - Section 1-10All testing results met required parameters (Section 9)
    Clinical Data and Analysis ANSI/AAMI-SP-10 Standard, Section 4.4.2All testing results met required parameters (Section 9)
    Non-Clinical Performance:
    FDA November 1993 Draft "Reviewer Guidance for Premarket Notification Submissions", DCRND (Electrical, Mechanical, Environmental Performance Requirements)Met all relevant requirements; no safety hazards (Section 8)
    General Functions TestMet all relevant requirements (Section 8)
    Reliability Test-Operation ConditionsMet all relevant requirements (Section 8)
    Reliability Test-Drop TestingMet all relevant requirements (Section 8)
    Reliability Test-StorageMet all relevant requirements (Section 8)
    Reliability Test-Vibrating TestingMet all relevant requirements (Section 8)
    EMC TestingMet all relevant requirements (Section 8)
    IEC 60601-1 Safety TestingMet all relevant requirements (Section 8)
    FDA required Unit Intravariability TestingMet all relevant requirements (Section 8)

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

    The document states, "We have performed clinical testing on the LD-578 Fully Automatic Digital Blood Pressure Monitor according to 'Clinical Data and Analysis ANSI/AAMI-SP-1000 Stondord -Section 1-1 0' - Alto 'Clinical Data and Analysis ANSI/AAMI-SP-10 Standard, Section 4.4.2'."

    • Sample Size: The exact sample size used for the clinical test set is not explicitly mentioned in the provided text.
    • Data Provenance: The document does not explicitly state the country of origin of the data or whether the study was retrospective or prospective. It only indicates that "clinical testing" was performed.

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

    The document does not provide information on the number of experts used or their qualifications for establishing ground truth in the clinical testing. The clinical testing refers to adherence to the ANSI/AAMI-SP-10 standard, which typically outlines methods for validating blood pressure monitors against a reference method, often involving trained observers.

    4. Adjudication Method for the Test Set

    The document does not explicitly describe an adjudication method (such as 2+1 or 3+1) for the test set. Clinical validation of blood pressure devices against a standard often involves comparison to a reference standard (e.g., auscultation by multiple trained observers), but specific adjudication protocols are not detailed here.

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

    There is no mention of a Multi-Reader Multi-Case (MRMC) comparative effectiveness study or any effect size related to human readers improving with or without AI assistance. The device is a "Fully Automatic Digital Blood Pressure Monitor," implying it autonomously measures blood pressure, and the focus is on its accuracy compared to established standards rather than human reader performance.

    6. If a Standalone (i.e. algorithm only without human-in-the loop performance) Was Done

    Yes, a standalone performance assessment was conducted. The device is described as "Fully Automatic Digital Blood Pressure Monitor" employing an "oscillometric method" to define systolic and diastolic blood pressure and calculate pulse rate. The clinical testing, according to ANSI/AAMI-SP-10, is a standalone validation of the device's accuracy without human interpretation of the device's output.

    7. The Type of Ground Truth Used

    The clinical testing was performed according to ANSI/AAMI-SP-10 standard. This standard typically requires the device's readings to be compared against a reference method, which is often auscultation performed by trained observers (expert consensus) using a mercury manometer or another validated reference sphygmomanometer. The document states, "Our method to define systolic and diastolic pressure is similar to the auscultatory method but uses an electronic semiconductor sensor rather than a stethoscope and mercury manometer." This indicates that the ground truth for clinical validation would be established by the auscultatory method.

    8. The Sample Size for the Training Set

    The document does not provide information on a separate "training set" or its sample size. For blood pressure monitors, the "oscillometric method" is a well-known and established technique rather than a machine learning algorithm that requires a distinct training phase. The device's algorithm would have been developed and refined based on existing physiological knowledge and potentially pre-clinical data, but a formal "training set" in the context of supervised learning is not discussed.

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

    As no explicit "training set" is mentioned in the context of developing a machine learning algorithm, there is no information on how its ground truth was established. The "oscillometric method" is a recognized technique, and its parameters would be defined through physiological research and engineering principles, not through a 'ground truthing' of a training dataset in the AI sense.

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