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510(k) Data Aggregation

    K Number
    K030825
    Device Name
    MPM-NET
    Date Cleared
    2003-03-28

    (14 days)

    Product Code
    Regulation Number
    870.1130
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    MPM-NET

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

    The Aerotel Medical Systems (1998) Ltd. MPM-Net system is intended to be used by patients to measure their blood pressure at home and transmit it to a central station by telephone. The system includes both the patient unit and a central computer program (to be used in a Personal Computer) which receives the blood pressure data, stores it in a patient's record, and prepares reports and charts showing the history of the systolic, diastolic pressures and the heart rate. The system is not intended for patients with defibrillators.

    Device Description

    The MPM-Net is an option for a modem/dialer system adapted for the purpose of following patients' blood pressures. It operates in conjunction with a cleared home-use blood pressure device. The system includes the computer program at a central station used for receiving data and preparing reports. The option allows reports to be retrieved over the internet.

    AI/ML Overview

    The provided K030825 document is a 510(k) summary for the "MPM-Net" device. It is essentially an administrative filing to demonstrate equivalence to a predicate device, not a report of a scientific study designed to establish new performance criteria. Therefore, the document explicitly states there were no clinical tests performed for this specific submission to demonstrate accuracy or performance.

    Here's a breakdown based on the information provided and the absence of certain elements:

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

    Acceptance CriteriaReported Device Performance
    Not specifiedNot specified
    • Explanation: The document does not define specific performance acceptance criteria (e.g., accuracy, precision) for blood pressure measurement, nor does it report numerical device performance metrics for the MPM-Net itself. It relies on demonstrating equivalence to predicate devices which would have undergone such testing.

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

    • Sample Size: 0 (No clinical tests were performed for this submission).
    • Data Provenance: Not applicable.

    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)

    • Number of Experts: Not applicable.
    • Qualifications of Experts: Not applicable.

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

    • Adjudication Method: Not applicable.

    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

    • MRMC Study: No, an MRMC study was not done. The device is a blood pressure monitor and transmission system, not an AI-assisted diagnostic tool for human readers.

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

    • Standalone Performance: Not applicable in the context of this 510(k) submission. The device is a system that includes a home blood pressure monitor and a transmission system, not a standalone algorithm for diagnostic interpretation. The emphasis is on the transmission and reporting capabilities.

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

    • Type of Ground Truth: Not applicable for this submission as no clinical tests were performed. For the predicate blood pressure monitors, the ground truth would typically be established through comparison with a reference standard validated blood pressure measurement device.

    8. The sample size for the training set

    • Sample Size for Training Set: Not applicable. The document does not describe a machine learning algorithm or a "training set" in the context of its development. The validation mentioned was for the system itself (software validation, electrical/mechanical characteristics), not the training of an AI model.

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

    • How Ground Truth was Established: Not applicable.

    Summary of the Study (as described in K030825):

    The document explicitly states: "No clinical tests were performed."

    Instead, the study to demonstrate the device meets acceptance criteria (which are implicitly tied to the predicate devices) relied on:

    • Non-clinical tests: "The modifications were validated by a validation test for the system." This likely refers to engineering, software, and functional testing to ensure the modifications (primarily the internet retrieval of reports) work as intended and do not negatively impact the core functionality, which is the transmission of blood pressure data.
    • Comparison to Predicate Devices: The primary argument for safety and effectiveness is that the "MPM-Net is a modified version of the predicate device. It has basically the same electrical and mechanical characteristics, and the use of the two devices by the patient is equivalent. It permits the reports to be retrieved over the internet." The predicate devices (BP-Tel K983717 and TeleCliniQ K021447) would have undergone their own clinical testing to establish accuracy and performance. This 510(k) relies on the established safety and effectiveness of those predicates, asserting that the new modification (internet reporting) does not alter the fundamental performance or safety.
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