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510(k) Data Aggregation

    K Number
    K221040
    Date Cleared
    2022-08-31

    (146 days)

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

    Electronic Sphygmomanometers, Model: X1, X2, X5, X6, X7,X8, X11)

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

    Electronic Sphygmomanometers is intended to measure the systolic blood pressure as well as the pulse rate of adult person and adolescents age 18 through 21 years of age .It can be used at medical facilities or at home.

    Device Description

    The Electronic Sphygmomanometers, including X1, X2, X5, X6, X7, X8, X11, is suitable for measurement of systolic blood pressure, diastolic blood pressure and the pulse rate of adult person and adolescents 18 to 21 years old with arm circumference ranging from 22 cm to 42 cm by the oscillometric technique. The error is controlled within the range specified in IEC 80601-2-30 Non-invasive automated monitor. User can select the blood pressure unit mmHg or kPa. The initial inflation pressure of the cuff is zero pressure. When start the device, the cuff will be inflated and deflated.

    The device consists of the microprocessor, pressure sensor, operation keys, pump, deflation control valve, LCD screen and cuff. And all models are powered by 4 AAA dry batteries (DC 6V).

    The device has a memory function that automatically stores 2*99 sets data of the latest measurements. It can also display the latest measurement result. Additionally, the device also can read the data through voice broadcast function.

    The seven models have the same intended use, working principle, measuring range, accuracy, cuff, and conformance standard; only appearance have some difference.

    AI/ML Overview

    The document provided is a 510(k) Premarket Notification for Electronic Sphygmomanometers. It describes the device, its intended use, and comparative studies to demonstrate substantial equivalence to a predicate device, focusing on electrical, EMC safety, performance, software verification, biocompatibility, and clinical studies. However, it does not describe an AI/ML-driven medical device, nor does it detail acceptance criteria and a study proving an AI/ML device meets those criteria.

    Therefore, I cannot extract the requested information regarding an AI/ML device's acceptance criteria, performance, sample sizes, expert involvement, or ground truth establishment based on the provided text. The document pertains to a traditional medical device (blood pressure monitors).

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