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510(k) Data Aggregation

    K Number
    K191978
    Device Name
    Fever Garde
    Manufacturer
    Date Cleared
    2020-12-18

    (513 days)

    Product Code
    Regulation Number
    880.2910
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    Fever Garde

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

    The Bluetooth Wearable Thermometer, model HMT-100 is a battery-operated electronic device with an intended use of measuring human armpit temperature and transmitting wireless signal of the measuring results to a mobile device, monitoring armpit body temperature for home use. This product is a non-invasive and re-usable electronic device for multiple patients at home. This product is intended for non-urgent ambulatory continuous armpit body temperature monitoring from ages 29 days and older.

    Device Description

    The Bluetooth Wearable Thermometer is a contact electronic thermometer using a sensor to measure armpit temperature. The Sensor detects heat and measures the temperature using a resistance that changes with heat. Displays the highest temperature among consecutive temperature readings. Its software performs a calculation that factors in room temperature, and then a calculated temperature is displayed on the mobile device. This product is in conjunction with the App, and information can be checked through a mobile device. Application Name: H-Health. The control unit transmits the measurement data to the application wirelessly through the antenna at intervals of 20 seconds. The application displays the corresponding data on a mobile device. In addition, the application alerts the user by sound or vibration when the temperature is below the user-set minimum temperature or above the maximum temperature.

    AI/ML Overview

    The document provided is a 510(k) summary for a medical device, the Fever Garde (Model: HMT-100), a Bluetooth Wearable Thermometer. While it details the device's non-clinical testing and comparison to a predicate device, it does not contain information about a clinical study involving human participants for demonstrating performance against acceptance criteria in the way typically seen for AI/ML-based medical devices or comparative effectiveness studies with human readers.

    The document focuses on demonstrating substantial equivalence to a predicate device (Fever Scout™ Continuous Monitoring Thermometer, K181013) through non-clinical performance testing and compliance with various international standards. The "acceptance criteria" here are primarily tied to meeting specific performance parameters verified through laboratory testing and engineering benchmarks, rather than clinical endpoints from a human study.

    Given the nature of the device (a thermometer) and the provided document, I will extract information related to the technical performance testing rather than a clinical study in the typical sense of a comparative effectiveness study with human readers assisting AI.

    Here's the breakdown of the acceptance criteria and the technical performance testing as described in the document:


    Acceptance Criteria and Reported Device Performance

    The device's performance acceptance criteria are derived from the applicable standards and internal testing specifications for a clinical electronic thermometer. The document primarily focuses on demonstrating that the device meets these technical specifications and that the differences from the predicate device do not impact safety or effectiveness.

    1. Table of Acceptance Criteria and Reported Device Performance

    Test/CharacteristicAcceptance Criteria (Standard/Benchmark)Reported Device Performance
    Accuracy±0.1°C (from 3739°C) and ±0.2°C (from 3537°C and 39~42°C) * (Predicate's specified accuracy)±0.1°C (Reported for Fever Garde, Model: HMT-100) and Verified by Laboratory Accuracy Test which states "Equation(0.1°C)" and a rated output range of 34~42°C.
    Measurement Range35-42°C (based on predicate, with subject having 3442°C)3442°C (Fever Garde). Deemed "Similar 2" to predicate (3542°C), noting subject device's range is 1°C wider and complies with performance standards.
    Time Response-heating transient timeNot explicitly stated as a general acceptance criterion, but predicate had 8 minutes.171.3 Seconds (Fever Garde). This is considerably faster than the predicate's 8 minutes and was tested according to IEC60601-1.
    Time Response-cooling transient timeNot explicitly stated.113.8 Seconds (Fever Garde).
    Monitoring DistancePredicate: 1.5m (4.9ft). Subject claims "longer" distance.3~5m. Tested and confirmed connection for 24 hours at 3m. Deemed "Different 5" but passed relevant standards (EN 300 328 and EN 62479).
    BiocompatibilityConformance to ISO 10993-1, -5, -10Conformed to ISO 10993-1, -5, and -10. Specifically, Cytotoxicity (Noncytotoxic), Sensitization (No evidence), Acute Intracutaneous Reactivity (No evidence).
    Electrical SafetyConformance to IEC 60601-1Conformed to IEC 60601-1.
    Electromagnetic CompatibilityConformance to IEC 60601-1-2Conformed to IEC 60601-1-2.
    UsabilityConformance to IEC 60601-1-6Conformed to IEC 60601-1-6.
    Home Healthcare Environment RequirementsConformance to IEC 60601-1-11Conformed to IEC 60601-1-11.
    Software Verification & Validation"Moderate" level of concern, in accordance with FDA Guidance.Conducted and confirmed.
    CybersecurityAppropriate information security controls to preserve integrity, confidentiality, and availability based on FDA Guidance.Testing performed; confirmed appropriate controls implemented.
    Movement TestH-Health application alarm sounds within 30s without movement; not sounded during movement.Before test: alarm sounded within 30s without moving sample. During test: alarm not sounded while sample moving. After test: alarm sounded within 30s without moving sample.
    Adhesion TestProduct attached for 24 hours without falling.The product was attached to the armpit with an adhesive band for 24 hours and checked to ensure that it did not fall.
    Data Transfer TestBody temperature data transmitted to all participants.After attaching the product, it was checked the body temperature data was transmitted to all participants.
    Charging OperationDevice not operating during charging.Confirmed.
    Communication FailureNotification indicated.Confirmed.
    Temperature NotificationHigh and Low indication displayed.Confirmed.
    Internal Battery statusInternal battery status displayed.Confirmed.

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

    The document describes non-clinical performance and engineering validation tests. There is no mention of a "test set" in the context of a clinical study with human subjects providing data. The tests performed are laboratory-based and include:

    • Laboratory Accuracy: Implies a test setup to verify the stated accuracy. No specific sample size (e.g., number of temperature readings or devices tested) is given.
    • Time Response (heating/cooling): Likely performed on a few devices in controlled environments. No specific sample size is given.
    • Movement Test: Involves observation of alarm behavior during movement. No specific sample size is given.
    • Adhesion Test: "The product was attached to the armpit with an adhesive band for 24 hours". It doesn't specify if this was on a human or a simulated armpit, or how many "products" or "armpits" were tested.
    • Monitoring Distance Test: "product and mobile device were not disconnected for all participants." This suggests human participants, but the number of participants is not specified.
    • Data Transfer Test: "body temperature data was transmitted to all participants." Again, suggests human participants, but the number is not specified.

    The provenance of this data is from the manufacturer's (HuBDIC Co., Ltd.) internal testing, which would be prospective for the purpose of this submission. The origin is implied to be where the testing labs are located (e.g., Korea, given the manufacturer's address).

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

    Not applicable in the context of this 510(k) summary. The document describes engineering and laboratory performance tests, not a clinical study where expert consensus establishes ground truth for medical image interpretation or diagnosis. The "ground truth" for the technical tests would be established by calibrated reference standards (e.g., precise temperature sources, timers).

    4. Adjudication Method for the Test Set

    Not applicable. There's no mention of an adjudication method as would be used in a clinical study with multiple human reviewers.

    5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study was done

    No. This document does not refer to an MRMC comparative effectiveness study. The device is a thermometer, and the submission is for substantial equivalence to a predicate, not for demonstrating improved diagnostic performance for human readers using AI assistance.

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

    The device is a measurement device. Its core function is to measure temperature. The "performance" described is its standalone performance (e.g., accuracy, response time, signal transmission). There's no complex algorithm for interpretation or diagnosis that would typically be evaluated with a separate "standalone" study in the context of AI/ML.

    7. The Type of Ground Truth Used

    For the technical performance tests:

    • Laboratory Accuracy: Likely against a calibrated reference thermometer or temperature bath.
    • Biocompatibility: In vitro and in vivo laboratory assays following ISO standards.
    • Electrical Safety & EMC: Compliance with international safety and electromagnetic compatibility standards, typically verified through measurements against defined limits.
    • Software/Cybersecurity: Verification against established software development lifecycle (SDLC) processes, requirements, and industry best practices.
    • Functional tests (Display, Charging, Communication, etc.): Verification against documented functional requirements.

    There is no mention of "expert consensus," "pathology," or "outcomes data" as ground truth.

    8. The Sample Size for the Training Set

    Not applicable. This device is a traditional electronic thermometer. It does not employ machine learning or AI that would require a "training set" of data.

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

    Not applicable, as there is no training set for an AI/ML algorithm.

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