Intended Use

The device is intended to capture, analyze and report symptomatic and asymptomatic cardiac events and continuous electrocardiogram information for long-term monitoring in adults.

Technology

The ZEUS System uses a deep learning-based rhythm classification algorithm to analyze continuously recorded ECG data. It processes digital long-term continuous ECG signals, downloads and stores the data, and integrates machine learning and deep learning classifications to generate detailed cardiac rhythm reports for clinicians.

Performance

The device's arrhythmia detection algorithm was tested according to AAMI ANSI EC57:2012 performance standards and IEC 60601-2-47:2012 safety standards for ambulatory ECG systems. Verification and system-level regression testing demonstrated that the device meets design requirements and intended use without new safety or effectiveness concerns.

Predicate Devices

No predicate devices specified

Device Timeline

  • 1

    Submission

    6/7/2018

    2 months
  • 2

    FDA Approval

    8/29/2018

Other devices from iRhythm Technologies, Inc.

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