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510(k) Data Aggregation

    K Number
    K223622
    Manufacturer
    Date Cleared
    2023-09-01

    (270 days)

    Product Code
    Regulation Number
    870.2785
    Reference & Predicate Devices
    Why did this record match?
    Applicant Name (Manufacturer) :

    FaceHeart Corp.

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

    The FH Vitals SDK is designed to measure the pulse rate based on the given facial video stream. It is intended for non-invasive spot measurements of pulse rate when the subject is still. This SDK is not intended for use in patients with known or suspected heart arrhythmias.

    While the SDK can be used for general healthcare, it is not designed to treat patients. The pulse rate measurement results provided by the FH Vitals SDK should complement, but not replace, the user's usual professional medical care and/or medication. If abnormalities are detected during the measurement with the FH Vitals SDK, users are advised to consult a medical professional.

    The FH Vitals SDK is indicated for use in humans 18 years of age or older who do not require critical care or continuous vital signs monitoring. This software should not be the primary or sole method for assessing an individual's health.

    Device Description

    FH vitals SDK is a video-based, non-contact pulse rate measurement software with a face recognition function designed to measure and real-time display the pulse rate of adults. This system uses cameras to detect the user's face and obtains the continuous face image data, with signal processing and algorithm to compute the pulse rate. The software is intended to be installed on commercial mobile devices/laptops/computers equipped with cameras. It can be deployed on Android, iOS platform and Windows platforms.

    AI/ML Overview

    Here's a breakdown of the acceptance criteria and the study details for the FaceHeart Vitals Software Development Kit (FH vitals SDK):

    1. Table of Acceptance Criteria and Reported Device Performance:

    Acceptance Criteria (Performance)Reported Device Performance (FH vitals SDK)
    Pulse Rate Measurement Range50-180 bpm
    Performance (Error Level)±3 bpm

    The document notes that the predicate device had a pulse rate measurement range of 50-130 bpm and the same performance error level of ±3 bpm. The FH vitals SDK can measure a wider range of pulse rates.

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

    • Sample Size: 527 participants.
    • Data Provenance: The document does not explicitly state the country of origin. It indicates it was a "clinical study," which implies it was prospective data collection.

    3. Number of Experts Used to Establish Ground Truth and Qualifications:

    The document does not specify the number of experts used or their qualifications for establishing the ground truth.

    4. Adjudication Method for the Test Set:

    The document does not specify an adjudication method. It implies a direct comparison to the reference device.

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

    A multi-reader multi-case (MRMC) comparative effectiveness study was not conducted or reported. The study compares the stand-alone performance of the FH Vitals SDK to a reference device.

    6. Stand-Alone Performance (Algorithm Only without Human-in-the-Loop Performance):

    Yes, a standalone performance study was done. The clinical study compares the FH Vitals SDK's pulse rate measurements against a reference device (Philips MX100 ECG) without human assistance being part of the measurement process.

    7. Type of Ground Truth Used:

    The ground truth used was established by a clinically accurate patient-contacting relevant comparator device, specifically the Philips MX100 ECG.

    8. Sample Size for the Training Set:

    The document does not provide information on the sample size used for the training set. It mentions "Software documentation included a description of algorithm training and validation data," but does not give specific numbers for the training set itself.

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

    The document does not explicitly state how the ground truth for the training set was established. It generally refers to "algorithm training and validation data" but doesn't detail the method for labeling or establishing truth for that data.

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