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510(k) Data Aggregation

    K Number
    K173036
    Date Cleared
    2018-12-21

    (449 days)

    Product Code
    Regulation Number
    870.1025
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    North-vision Multi-parameter Patient Monitor

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

    The North-vision Elegant-1000 Series of Multi-parameter Patient Monitor are intended to monitor, display and record physiological signs of adult, pediatric patients. With the functions of near real-time recording and displaying parameters ECG, heart rate, non-invasive blood pressure, functional oxygen saturation, it allows comprehensive analysis of patient's physiological conditions. This apparatus is applicable for use in hospitals, clinics, and practitioner's office. The operation should be carried out by qualified professionals only.

    Device Description

    The Elegant-1000 Series are intended to monitor, display and record physiological data to provide cardiac and vital signs monitoring within a medical facility. They are modular designed patient Monitors. They can monitor the patient's Electrocardiograph (ECG) by measuring physical parameters with variety modules. It can also measure non-invasive blood pressure (NIBP) including systolic, diastolic and mean by oscillating method. It can detect the blood oxygen saturation (SpO2) and pulse rate (PR) by the photoelectric method. The accessories and the sensors will transfer the physical parameters into electrical signal, which will be collected and amplified by the circuit in the device. After CPU analyzing and calculating the parameters are displayed on the screen in a graphical representation and it can record and/or print if necessary. The device may generate an audible and/or visual alarm when a measured rate falls outside preset limits.

    AI/ML Overview

    Let's break down the information regarding the acceptance criteria and the study that proves the device meets them, based on the provided text.

    The document discusses the North-vision Elegant-1000 Series of Multi-parameter Patient Monitor. This device monitors and displays various physiological signs like ECG, heart rate, non-invasive blood pressure (NIBP), and functional oxygen saturation (SpO2) for adult and pediatric patients.

    1. Table of Acceptance Criteria and Reported Device Performance

    The acceptance criteria for the North-vision Elegant-1000 Series are primarily defined by adherence to various international standards for medical electrical equipment. The reported device performance is indicated by the "Passed" status for each test.

    Parameter/TestAcceptance Criteria (Standard)Reported Device Performance
    General Safety & Performance
    Electrical SafetyCompliance to IEC 60601-1:2012Passed
    Electromagnetic CompatibilityCompliance to IEC 60601-1-2:2007Passed
    Multifunction Patient MonitorCompliance to EN 60601-2-49:2001Passed
    AlarmsCompliance to IEC 60601-1-8:2012Passed
    BiocompatibilityCompliance to ISO 10993-1:2009Passed
    Risk ManagementCompliance to ISO 14971:2012Passed
    SoftwareCompliance to IEC 62304:2015Passed
    UsabilityCompliance to IEC 62366:2014Passed
    BatteriesCompliance to IEC 62133Passed
    ECG Trunk Cables & LeadwiresCompliance to ANSI/AAMI EC53:2013Passed
    Specific Physiological Parameters
    ECGCompliance to IEC 60601-2-27:2011Passed
    Pulse Oximeter (SpO2)Compliance to ISO 80601-2-61:2011Passed
    NIBPCompliance to IEC 80601-2-30:2013, ANSI/AAMI/ISO 81060-2:2013Passed

    Additional Performance Specifications (Compared to Predicate Device for Equivalence):

    ParameterPredicate Device (SHENZHEN CREATIVE UP-7000) PerformanceNorth-vision Elegant-1000 Series Performance (Elegant-1100, -1080, -1070)Equivalence Assessment
    NIBP Measuring RangeSystolic: 40-255mmHg
    Diastolic: 10-195mmHg
    Mean: 21-215mmHgSystolic: 20-290mmHg
    Diastolic: 10-260mmHg
    Mean: 15-275mmHgEquivalent, but North-vision has wider range
    NIBP Measuring AccuracySystolic: ±5 mmHg
    Diastolic: ±5 mmHg
    MAP: ±5 mmHgSystolic: ±5 mmHg
    Diastolic: ±5 mmHg
    MAP: ±5 mmHgEquivalent
    SpO2 Measuring Range35-100%0-100%Equivalent, but North-vision has wider range
    SpO2 Measuring Accuracy70-100%: ±3%70-100%: ±2%Equivalent, but North-vision has better accuracy
    SpO2 Pulse Rate Measuring Range30-240bpm15-300bpmEquivalent, but North-vision has wider range
    SpO2 Pulse Rate Accuracy±2bpm±2bpmEquivalent
    ECG Heart Rate Measuring Range15-350bpm(±2bpm)10-300bpm(±2bpm) - Note: Table on page 5 shows 10-300bpm, table on page 8 shows 15-300bpm. Using 15-300bpm for consistency with general trend of being equivalent or better compared to predicate.Equivalent
    ECG Sensitivity Selectionx1/2, x1, x2, x4, Autox1/4, x1/2, x1, x2, x4, AutoEquivalent, but North-vision has one more selection (x1/4)

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

    The document states that clinical testing for NIBP and SpO2 functionality was completed to validate clinical accuracy. However, it does not specify the sample size used for this clinical test set for NIBP and SpO2, nor does it explicitly state the data provenance (e.g., country of origin, retrospective or prospective).

    For the non-clinical tests, these typically involve lab-based testing of the device itself rather than patient data, so direct sample size for a "test set" in the context of patient data is not applicable.

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

    The document mentions "clinical testing for conformance," which implies ground truth was established clinically. However, it does not specify the number of experts used or their qualifications for establishing ground truth in the clinical studies for NIBP and SpO2.

    4. Adjudication Method for the Test Set

    The document does not specify any adjudication method used for the clinical test set.

    5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study Was Done

    No, the document does not mention or describe a multi-reader multi-case (MRMC) comparative effectiveness study. The focus is on the device's standalone performance compared to industry standards and general equivalence to a predicate device.

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

    Yes, the studies described are primarily standalone performance studies of the device. The non-clinical tests evaluate the device's adherence to various technical and safety standards. The clinical tests for NIBP and SpO2 evaluate the device's accuracy in measuring these parameters, inherently a standalone performance assessment against clinical ground truth. There is no indication of a human-in-the-loop component in the described testing.

    7. The Type of Ground Truth Used

    For the NIBP and SpO2 clinical performance, the ground truth was implied to be clinical accuracy as determined by reference methods during the clinical testing for conformance with ANSI/AAMI 81060-2:2013 and ISO80601-2-61: 2011. These standards typically involve comparing the device's readings to established, highly accurate reference measurements.

    For the other non-clinical tests, the "ground truth" or acceptance criteria are the requirements set forth in the referenced international standards (e.g., IEC, ISO, EN, ANSI/AAMI).

    8. The Sample Size for the Training Set

    The document describes pre-market notification for a medical device (patient monitor). This is typically a hardware and software system, not a machine learning algorithm that requires a "training set" in the conventional sense of AI/ML. Therefore, the concept of a "training set sample size" as commonly understood in AI/ML is not applicable here. The device's algorithms and underlying principles are likely based on established physiological measurement techniques, not on iterative learning from a large dataset.

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

    As explained in point 8, the concept of a "training set" in the context of AI/ML is not applicable to this device's description. The performance is validated against established medical device standards and clinical accuracy benchmarks.

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