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510(k) Data Aggregation

    K Number
    K152483
    Date Cleared
    2015-09-29

    (29 days)

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

    Digital Automatic Blood Pressure Monitor BPM30 and BPM31 Series

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

    This device is for use by medical professional or home users. It is intended to measure the systolic and diastolic blood pressure on an adult individual by using a non-invasive technique, in which an inflatable cuff is wrapped around the upper arm.

    Device Description

    Digital Automatic Blood Pressure Monitor BPM30 and BPM31 Series is a non-invasive blood pressure measurement system for use by medical professional or at home. It is designed to measure the systolic and diastolic blood pressure, and pulse rate of an individual in each measurement and then display the readings on a digital panel. The device utilizes the oscillometric methodology, in which an inflatable cuff is wrapped around the upper arm of an individual, for blood pressure measurement. This means the monitor detects your blood's movement through your brachial artery and converts the movement into a digital reading. The key components of device are: a pressure sensor, an electric valve and an electronic control module together with an electric pump.

    AI/ML Overview

    The information provided describes the Digital Automatic Blood Pressure Monitor BPM30 and BPM31 Series. Here's an analysis of the acceptance criteria and the study that proves the device meets those criteria:

    1. Table of Acceptance Criteria and Reported Device Performance

    The acceptance criteria for blood pressure measurement devices are typically defined by international standards like ISO 81060-2. The document explicitly references compliance with IEC 81060-2:2009 (and
    the new device uses IEC 81060-2:2013). While the document does not list the specific numerical acceptance criteria from this standard, it states that the device was tested in accordance with it and shows the reported performance for key metrics.

    Acceptance Criteria (Based on ISO 81060-2 standards)*Reported Device Performance (Digital Automatic Blood Pressure Monitor BPM30 and BPM31 Series)
    Blood Pressure Measurement Accuracy:± 3 mmHg (Comparable to predicate device)
    - Mean difference (systolic) should be within ±5 mmHgImplicitly met by ±3 mmHg accuracy claim
    - Standard deviation (systolic) should be within 8 mmHgImplicitly met by ±3 mmHg accuracy claim
    - Mean difference (diastolic) should be within ±5 mmHgImplicitly met by ±3 mmHg accuracy claim
    - Standard deviation (diastolic) should be within 8 mmHgImplicitly met by ±3 mmHg accuracy claim
    Pulse Rate Measurement Accuracy:± 5 % of the reading

    Note: The document states compliance with ISO 81060-2. The numerical acceptance criteria for mean difference and standard deviation are standard requirements within ISO 81060-2 for evaluating automated sphygmomanometers. While not explicitly listed with these specifics in the document, the stated "± 3 mmHg" for blood pressure accuracy implies compliance with these underlying statistical criteria.

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

    • Sample Size: One hundred patients (49 males and 51 females).
    • Data Provenance: The document does not specify the country of origin for the data. The study appears to be prospective as patients were "invited for the study" and measurements were taken during the study.

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

    • Number of Experts: The document does not explicitly state the number of experts. However, it indicates that "Standard auscultation method was used as the reference blood pressure monitor," which implies measurement by trained human observers (likely medical professionals) using a stethoscope and sphygmomanometer.
    • Qualifications of Experts: Not specified. However, for a clinical accuracy study using auscultation as the reference, the operators are typically trained medical personnel (e.g., physicians, nurses, or trained technicians) who are proficient in the auscultatory method.

    4. Adjudication Method for the Test Set

    • The document implies that the auscultation method serves as the ground truth comparator. It states, "Blood pressure measurements were repeated alternatively with the device and auscultation in the same arm according to the sequence in ISO 81060-2." This suggests a direct comparison method rather than an adjudication process between multiple automated device readings or between the device and multiple human observers. There is no mention of 2+1, 3+1, or other adjudication methods.

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

    • No, a multi-reader multi-case (MRMC) comparative effectiveness study was not done. This study focuses on the accuracy of the device against a gold standard (auscultation), not on how human readers might improve with or without AI assistance, as AI is not a component of this blood pressure monitor. The device is a standalone measurement system.

    6. Standalone (Algorithm Only Without Human-in-the-Loop Performance) Study

    • Yes, a standalone performance study was done. The clinical test evaluated the Digital Automatic Blood Pressure Monitor BPM30 and BPM31 Series as a standalone device, measuring its accuracy against the reference auscultation method without human intervention in the device's measurement process.

    7. Type of Ground Truth Used

    • The ground truth used was established by the standard auscultation method. This is considered the clinical gold standard for non-invasive blood pressure measurement.

    8. Sample Size for the Training Set

    • There is no mention of a training set in the provided document. This device is a traditional medical device (blood pressure monitor) that operates based on a pre-programmed algorithm (oscillometric methodology) rather than a machine learning or AI algorithm that requires a "training set."

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

    • As there is no mention of a training set, the question is not applicable.
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