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510(k) Data Aggregation

    K Number
    K092875
    Date Cleared
    2010-08-13

    (329 days)

    Product Code
    Regulation Number
    862.1345
    Reference & Predicate Devices
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    ECHO TD-3227 Dual Blood Pressure/Blood Glucose Meter is intended for use in the quantitative measurement of glucose in fresh capillary whole blood from the finger and from the following alternative sites: the palm, forearm, upper-arm, calf and thigh. It is intended for use by healthcare professionals and people with diabetes mellitus at home as an aid in monitoring the effectiveness of diabetes control program. The alternative site testing in the systems can be used only during steady-state blood glucose conditions. The system is also intended to measure non-invasively the systolic and diastolic blood pressure and pulse rate. For ECHO TD-3227 Dual Blood Pressure/Blood Glucose Meter. the blood pressure is measured by using a technique in which an inflatable cuff is wrapped around the wrist. The cuff circumference is limited to 5.31"- 8.66". The device is not to be used for the diagnosis or screening of diabetes, hypertension or for testing on neonates.

    Device Description

    The kit of ECHO TD-3227 Dual Blood Pressure/Blood Glucose Meter consist of four main products: the meter features both the blood glucose and blood pressure measurement functions, test strips, control solutions (cleared under K012430), and the lancet device (cleared under K833344). These products have been designed and tested to work together as a system to produce accurate blood glucose test results.

    AI/ML Overview

    The provided text describes the "ECHO TD-3227 Dual Blood Pressure/Blood Glucose Meter" and mentions "Performance Characteristics: Software verification and validation testing confirmed that the performance, safety and effectiveness of ECHO TD-3227 Dual Blood Pressure/Blood Glucose Meter met acceptance criteria." However, it does not explicitly state the acceptance criteria or present the results of specific studies proving that the device meets them. It only makes a general statement about meeting acceptance criteria.

    Therefore, much of the requested information cannot be extracted from the provided document.

    Here's a breakdown of what can and cannot be answered:

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

    The document states: "Software verification and validation testing confirmed that the performance, safety and effectiveness of ECHO TD-3227 Dual Blood Pressure/Blood Glucose Meter met acceptance criteria." However, the specific acceptance criteria themselves and the detailed reported device performance are not provided in this summary.

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

    This information is not available in the provided text.

    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)

    This information is not available in the provided text.

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

    This information is not available in the provided text.

    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

    This device measures blood glucose and blood pressure, not medical images or diagnoses requiring "human readers" in the context of an MRMC study. Therefore, an MRMC study in this sense is not applicable to this device. The text does not mention AI in its functionality.

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

    The device is a physical meter used by healthcare professionals and individuals, so it inherently involves human interaction. The "software verification and validation testing" mentioned would relate to the algorithm's performance within the device, but the details of such a standalone evaluation are not provided.

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

    This information is not available in the provided text. For blood glucose meters, ground truth is typically established by laboratory reference methods (e.g., YSI analyzer), but this is not explicitly stated here.

    8. The sample size for the training set

    This information is not available in the provided text.

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

    This information is not available in the provided text.

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