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510(k) Data Aggregation

    K Number
    K130709
    Date Cleared
    2013-10-07

    (206 days)

    Product Code
    Regulation Number
    870.2300
    Reference & Predicate Devices
    Predicate For
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The ViSi Mobile Monitoring System is intended for use by clinicians and medically qualified personnel for single or multi-parameter vital signs monitoring of adult (18 years or older) patients. It is indicated for ECG (3 or 5 leadwire), respiration rate, non-invasive blood pressure (NIBP), continuous non-invasive blood pressure (cNIBP), non-invasive monitoring of functional oxygen saturation of arterial hemoglobin (SpO2), pulse rate, and skin temperature in hospital-based facilities; including general medical-surgical floors, intermediate care floors, and emergency departments.

    Device Description

    The ViSi Mobile Monitoring System is a lightweight, body-worn vital signs monitor featuring a high resolution, full color touch screen display, with visual and audible alarms and alerts. The ViSi Mobile Monitor is designed to continuously non-invasively measure ECG, heart rate, SpO2, blood pressure, pulse rate, respiration rate, and temperature. The ECG, SpO2, and Respiration waveforms are viewable on demand. The ViSi Mobile Monitoring System is capable of one-time and continuous NIBP measurements.

    AI/ML Overview

    Here's an analysis of the provided text regarding the acceptance criteria and study for the ViSi Mobile Monitoring System:

    1. Table of Acceptance Criteria and Reported Device Performance

    ParameterAcceptance Criteria (from ISO 81060-2 & AAMI/ANSI SP10)Reported Device Performance (ViSi System)
    Intermittent NIBP MAP (Mean Error)≤ ± 5 mmHgMeets criteria
    Intermittent NIBP MAP (Standard Deviation)≤ 8 mmHgMeets criteria
    cNIBP (Mean Error)≤ ± 5 mmHg (as per ISO 81060-2)Meets criteria
    cNIBP (Standard Deviation)≤ 8 mmHg (as per ISO 81060-2)Meets criteria

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

    The document does not explicitly state the sample size used for the test set. It mentions "clinical performance validation," but provides no numbers.

    The data provenance is not specified regarding country of origin. The studies were clinical performance validations, which implies prospective data collection, but this is not explicitly stated.

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

    The document does not mention the use of experts to establish ground truth for the test set. Instead, it states that the ViSi's MAP measurement was "validated by comparison to an intra-arterial reference." This indicates that invasive, direct arterial blood pressure measurements were used as the gold standard for comparison.

    4. Adjudication Method for the Test Set

    No adjudication method is mentioned as the ground truth was established by direct intra-arterial measurements rather than expert review.

    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 MRMC comparative effectiveness study was done. This device is a vital signs monitor and does not involve "human readers" interpreting images or data that AI would assist with in the typical sense of MRMC studies.

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

    Yes, the studies conducted were standalone performance evaluations of the device's ability to accurately measure blood pressure. The performance criteria (mean error and standard deviation) are algorithm-only metrics comparing the device's output to a reference standard.

    7. The Type of Ground Truth Used

    The ground truth used for both intermittent NIBP MAP and cNIBP was intra-arterial reference measurements. This is considered a gold standard for blood pressure measurement.

    8. The Sample Size for the Training Set

    The document does not explicitly state the sample size for a training set. This is because the device's performance validation is based on clinical testing against a reference standard, not a machine learning model that requires a distinct training and testing set. The "auto-calibration to NIBP measurements" mentioned for cNIBP implies a form of continuous adaptation, but doesn't define a traditional "training set" in the context of supervised learning.

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

    Since a traditional "training set" in the machine learning sense is not applicable or explicitly mentioned for this device's validation, the method for establishing its ground truth is also not provided. Any internal calibration or learning processes would likely use intra-arterial or NIBP reference measurements as their "truth."

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