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510(k) Data Aggregation

    K Number
    K233403
    Device Name
    Flexset System
    Manufacturer
    Date Cleared
    2024-04-30

    (209 days)

    Product Code
    Regulation Number
    882.1400
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    Flexset System

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

    The Flexset system is intended for prescription use in a healthcare facility, home, and specific transport environments to acquire, transmit, display and store EEG and auxiliary signals for adults and children, not including newborns. The Flexset system acquires, transmits, displays and stores electroencephalogram (EEG), and optionally electrocardiogram (ECG), electrooculogram (EOG), electromyogram (EMG), orientation sensor data, photic sensor data, external trigger signals and video.

    Device Description

    The Flexset System is intended to acquire, transmit, display and store primarily EEG and optionally auxiliary signals. Specific transport environments in the Indications for Use include ambulances, cars, buses, trains, boats and via air, per stipulation in the user manual of the device. The Flexset headset is designed to record a full montage EEG, with optional external references and additionally up to 8 auxiliary channels using lead wires for EEG, EOG, ECG or EMG. The device consists of the following components:

    • Flexset (Headset) .
    • Electrodes
    • Charger with cable ●
    • Display Unit ●
    • Extension Unit ●
    • Lead wires ●
    • Software ●
      • Display Unit firmware o
      • Data center application (same as K172735) O
      • O Client application (same as K172735)
    AI/ML Overview

    The provided 510(k) summary for the Zeto, Inc. Flexset System does not contain the specific details about the acceptance criteria or a dedicated study proving the device meets those criteria in the way typically expected for an AI/ML-driven diagnostic device.

    This document describes a device for acquiring, transmitting, displaying, and storing EEG and auxiliary signals. It focuses on demonstrating substantial equivalence to a predicate device (WR19 System) and a secondary predicate device (X-Series System) based on technological characteristics and intended use. The performance data section refers to compliance with general medical device standards (e.g., IEC 80601-2-26:2019 for EEG performance) rather than specific acceptance criteria for diagnostic performance outcomes.

    Therefore, many of the requested items cannot be extracted directly from this document. However, I can infer some information based on the provided text.

    Here's a breakdown of what can and cannot be answered:

    1. A table of acceptance criteria and the reported device performance

    Acceptance Criteria (Inferred from standards compliance)Reported Device Performance (From Section 3.3.3 EEG Measurements, 3.3.4 ECG Measurements, 3.3.8 Non-ECG auxiliary measurements)
    EEG Measurements (IEC 80601-2-26:2019 compliance implies meeting certain performance specs)
    Sampling Rate500 Hz
    Dynamic Range± 375 mV
    Resolution44.7 nV
    Peak-to-peak noise4 µV
    Common-mode rejection ratio> 120 dB
    Input impedance1 TΩ
    Noise1 µV RMS
    A/D Conversion24 Bit
    ECG Measurements (Compliance implies meeting certain performance specs)
    Sampling rate500 Hz
    Dynamic range+/- 3900 mV
    Resolution0.536 µV
    Peak to peak noise4 µV
    Common Mode Rejection Ratio> 110 dB
    Input Impedance>1 TΩ
    A/D Conversion24 Bit
    Non-ECG Auxiliary Measurements (EOG/EMG) (Compliance implies meeting certain performance specs)
    Sampling rate500 Hz
    Dynamic range± 375 mV
    Resolution44.7 nV
    Peak-to-peak noise4 µV
    Electrical Safety (IEC 60601-1:2005+AMD1:2012+AMD2:2020)Compliant
    Electromagnetic Compatibility (IEC 60601-1-2:2014+AMD1:2020)Compliant
    Biocompatibility (ISO 10993-x series)No evidence of toxic potential or adverse reactions

    Limitations: The document does not specify quantitative acceptance criteria (e.g., "EEG noise must be

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