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510(k) Data Aggregation

    K Number
    K081871
    Manufacturer
    Date Cleared
    2008-09-29

    (90 days)

    Product Code
    Regulation Number
    882.1320
    Reference & Predicate Devices
    Why did this record match?
    Reference Devices :

    K062198, K060584

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

    The NeuroMetrix UNIVERSAL Electrodes are intended for use with electrodiagnostic equipment for the recording of electrophysiological activity from peripheral nerves and muscles, and for peripheral nerve electrical stimulation. UNIVERSAL Electrodes are non-sterile and are for single patient use only.

    Device Description

    Surface electrodes are the interface medium between neurodiagnostic equipment and the patient. When used for recording, they transduce bioelectric signals into electronic signals for measurement of bioelectrical phenomena in the body, such as peripheral nerve or muscle responses. When used in conjunction with stimulation circuitry in neurodiagnostic devices, they provide the interface necessary to stimulate peripheral nerves. Surface electrodes are used in the performance of nerve conduction studies (NCS). They are provided non-sterile and are designed and intended to be for single patient use only and are disposable.

    • l UNIVERSAL Stimulator Bar Electrode (UE-001)
    • UNIVERSAL Tab Electrode Set (UE-002) 트
    • 트 UNIVERSAL Ring Electrode Set (UE-003)
      These individually placed electrodes are not configured for specific nerves, limbs, or clinical applications. The Stimulator Bar Electrode (UE-001) is for stimulation of peripheral nerves and consists of two electrodes in a bar configuration. The Tab Electrode Set (UE-002) and the Ring Electrode Set (UE-003) each consist of three distinct electrodes that are individually placed by the user.
    AI/ML Overview

    This 510(k) summary for NeuroMetrix UNIVERSAL Electrodes does not contain the detailed information necessary to answer all aspects of your request regarding acceptance criteria and a study proving device performance.

    This document primarily focuses on establishing substantial equivalence to predicate devices based on shared intended use, clinical applications, and technological characteristics, rather than presenting a performance study with specific acceptance criteria and detailed results.

    Here's an analysis of what can be extracted from the provided text, and what is missing:


    1. Table of Acceptance Criteria and Reported Device Performance

    This information is not provided in the given 510(k) summary. The summary states that "testing data presented, support a finding of substantial equivalence," but it does not detail what specific tests were performed, what the acceptance criteria for those tests were, or what the reported device performance metrics were against those criteria.


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

    This information is not provided in the given 510(k) summary. There is no mention of any specific test set, its sample size, or the provenance of any data.


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

    This information is not provided in the given 510(k) summary. Given the absence of a described test set, there's no mention of experts establishing ground truth.


    4. Adjudication Method for the Test Set

    This information is not provided in the given 510(k) summary.


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

    This information is not provided in the given 510(k) summary. MRMC studies are typically for evaluating the impact of an AI algorithm on human reader performance, which doesn't appear to be the focus of this submission for surface electrodes.


    6. If a Standalone (i.e., algorithm only without human-in-the-loop performance) Was Done

    This information is not applicable/not provided in the context of this device. The NeuroMetrix UNIVERSAL Electrodes are physical surface electrodes, not an AI algorithm. Therefore, "standalone" performance in the sense of an algorithm is not relevant. The document implies performance testing of the physical electrodes (e.g., electrical properties, skin compatibility, durability), but details are absent.


    7. The Type of Ground Truth Used

    This information is not provided in the given 510(k) summary. For physical electrodes, ground truth would likely relate to objective physical and electrical measurements (e.g., impedance, signal-to-noise ratio, material biocompatibility), rather than expert consensus on diagnostic interpretations.


    8. The Sample Size for the Training Set

    This information is not provided in the given 510(k) summary. As these are physical electrodes, the concept of a "training set" in the machine learning sense is not directly applicable. If "training set" refers to data used to design or optimize the electrode, those details are not present.


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

    This information is not provided in the given 510(k) summary for the reasons mentioned above.


    Summary of Missing Information:

    This 510(k) summary largely relies on demonstrating substantial equivalence to existing predicate devices (Axon Systems Pre-gelled Surface Electrodes and NeuroMetrix Biosensors) rather than providing a detailed performance study with explicit acceptance criteria and results. The text states:

    • "A comparison of the UNIVERSAL Electrodes to the predicate Axon Systems Pre-gelled Surface Electrodes (K062198), along with testing data presented, support a finding of substantial equivalence."
    • "The UNIVERSAL Electrodes and these predicate electrodes share similar intended use, clinical applications, and technological characteristics."

    This indicates that any "testing data" was likely used to confirm that the new electrodes perform similarly to the predicates, thereby not raising new questions of safety or effectiveness. The specific details of that testing, including numerical acceptance criteria, sample sizes, and empirical results, are not included in this publicly available portion of the submission. For a device like surface electrodes, performance "acceptance criteria" generally relate to electrical characteristics (e.g., impedance, noise levels), biocompatibility, adhesion, and durability, but these are not quantified or presented here.

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