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510(k) Data Aggregation

    K Number
    K142917
    Date Cleared
    2014-12-01

    (55 days)

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

    BP652N (HEM-6300-Z)

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

    The device is a digital monitor intended for use in measuring blood pressure and pulse rate in adult patient population with wrist circumference ranging from 5 1/4 inches (13.5 cm to 21.5 cm).

    The device detects the appearance of irregular heartbeats during measurement and gives a warning signal with readings.

    Environments of Use: Home Patient Population: Adult

    Device Description

    This device originally received clearance under 510(k) K123498.

    The device is an automatic non-invasive blood pressure system. The device is battery powered by 2 "AAA" batteries, there is no connection to external power. The device inflates a wrist cuff with an integral pump, then deflates the cuff via an electronically controllable valve. During inflation the cuff pressure is monitored and pulse waveform data is extracted. The extracted pulse waveform data is then analyzed by software which determines pulse rate, as well as systolic and diastolic pressure.

    The device has a memory function that automatically stores up to 100 of the latest measurements. It can also display an average of the last three values

    The device also detects the appearance of irregular heartbeats during measurement.

    As originally submitted under 510(k) K123498, the device contained the APS feature. The feature was removed prior to clearance.

    This submission is for the addition of the Advanced Positioning Sensor (APS) into the device. The APS is an aid to help the user determine if the cuff is at the correct height in relationship to the heart. The addition of APS does not change the intended use of the device. The addition of APS does not alter the fundamental scientific technology. There are no changes in hardware. There are no changes in the software algorithm which determines blood pressure or pulse rate. The addition of the APS feature is an optional feature which the user can elect to use. The APS feature does not alter the accuracy of the device, but serve to assist the user in positioning the device at the level of the heart.

    AI/ML Overview

    The provided text describes the Omron BP652N (HEM-6300-Z) with APS, a noninvasive blood pressure measurement system. The submission (K142917) is for the addition of the Advanced Positioning Sensor (APS) feature.

    Here's an analysis of the acceptance criteria and study information:

    1. Table of Acceptance Criteria and Reported Device Performance

    CriteriaAcceptance Value (from ANSI/AAMI/ISO 81060-2:2013)Reported Device Performance (Omron BP652N with APS)
    Accuracy of pressure indicator+/- 3 mmHg or 2% of reading (from predicate device's specification)+/- 3 mmHg or 2% of reading
    Accuracy of pulse rate+/-5% (from predicate device's specification)+/-5%
    Compliance with standardsSP10, IEC 60601-1, IEC 60601-1-2, ISO 10993-1Declared compliance with all listed standards
    Clinical Accuracy (Mean Diff.)Standard: Mean difference between device and reference
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    K Number
    K123498
    Date Cleared
    2013-03-21

    (128 days)

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

    BP652N (HEM-6300-Z)

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

    The device is a digital monitor intended for use in measuring blood pressure and pulse rate in adult patient population with wrist circumference ranging from 5 1/4 inches to 8 1/2 inches (13.5 cm to 21.5 cm). The device detects the appearance of irregular heartbeats during measurement and gives a warning signal with readings.

    Device Description

    The device is an automatic non-invasive blood pressure system. The device is battery powered by 2 "AAA" batteries, there is no connection to external power. The device inflates a wrist cuff with an integral pump, then deflates the cuff via an electronically controllable valve. During inflation the cuff pressure is monitored and pulse waveform data is extracted. The extracted pulse waveform data is then analyzed by software which determines pulse rate, as well as systolic and diastolic pressure. The algorithm used to determine pulse rate, systolic and diastolic pressure is a minor modification of the predicate algorithm. The device has a memory function that automatically stores up to 100 of the latest measurements. It can also display an average of the last three values. The device also detects the appearance of irregular heartbeats during measurement.

    AI/ML Overview

    The Omron BP652N (HEM-6300-Z) blood pressure monitor underwent non-clinical testing to ensure its accuracy and compliance with relevant standards. Here's a breakdown of the acceptance criteria and the study details:

    1. Table of Acceptance Criteria and Reported Device Performance

    ParameterAcceptance Criteria (from predicate K042505)Reported Device Performance (BP652N)
    Accuracy of Pressure+/- 3 mmHg+/- 3 mmHg (or 2% of reading)
    Accuracy of Pulse Rate+/- 5%+/- 5%

    2. Sample Size and Data Provenance for Test Set

    The provided document does not explicitly state the sample size used for the clinical accuracy test set, nor does it specify the country of origin or whether the data was retrospective or prospective. It only mentions that testing was done "to insure clinical accuracy of the device in accordance with ANSI/AAMI/ISO 81060-2." This standard typically outlines requirements for non-invasive sphygmomanometers, including patient selection criteria for clinical validation.

    3. Number of Experts and Qualifications for Ground Truth Establishment (Test Set)

    The document does not provide information on the number of experts used or their qualifications for establishing ground truth for the test set. For clinical accuracy studies of blood pressure monitors, ground truth is typically established by trained observers (often medical professionals) using a reference sphygmomanometer following a standardized protocol.

    4. Adjudication Method for the Test Set

    The document does not detail any adjudication method for the test set.

    5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study

    No MRMC comparative effectiveness study was done. The submission focuses on the standalone performance of the device and its substantial equivalence to a predicate device.

    6. Standalone Performance Study (Algorithm Only)

    Yes, a standalone performance study was done to assess the clinical accuracy of the device. This is implied by the statement "Testing to insure clinical accuracy of the device in accordance with ANSI/AAMI/ISO 81060-2." This standard specifies the clinical investigation of automated sphygmomanometers, which involves comparing the device's readings against a reference measurement. The results of this testing were that the device met the requirements for pressure accuracy (+/- 3 mmHg) and pulse rate accuracy (+/- 5%).

    7. Type of Ground Truth Used

    Based on the nature of blood pressure monitor accuracy testing and the reference to ANSI/AAMI/ISO 81060-2, the ground truth would have been established by expert reference measurements (e.g., using a mercury sphygmomanometer or validated electronic reference device) obtained by trained observers.

    8. Sample Size for the Training Set

    The document does not specify a separate training set. For blood pressure monitors, the "algorithm" is often based on established oscillometric principles, and its performance is validated rather than "trained" in the machine learning sense. The device's algorithm is described as a "minor modification of the predicate algorithm," suggesting an evolution rather than a de novo machine learning model requiring a distinct training set.

    9. How Ground Truth for the Training Set was Established

    As no explicit training set is mentioned in the context of machine learning, this information is not applicable. The device's algorithm would have been developed and refined based on engineering principles and data from prior validation efforts of similar oscillometric devices.

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