iRhythm Technologies
Company Information
Address: 699 8th Street San Francisco, CA 94103
Products
ZEUS System
Released:2/15/2023
Regulator:FDA
The ZEUS System by iRhythm Technologies is a software platform designed to analyze ECG data from wearable cardiac monitors to detect arrhythmias and other heart rhythm abnormalities. It uses AI algorithms to automatically process and identify cardiac events, assisting clinicians in diagnosing and managing heart conditions by generating detailed reports from long-term ECG recordings.
View detailsZEUS System (Zio Watch)
Released:7/19/2022
Regulator:FDA
The ZEUS System (Zio Watch) is a prescription-based wearable device and software system that uses AI to analyze cardiac signals from an ECG and PPG sensor to detect and report atrial fibrillation. It provides clinicians with detailed reports to aid in diagnosing and managing atrial fibrillation in adult patients.
View detailsZio ECG Utilization Software (ZEUS) System
Released:5/21/2021
Regulator:FDA
The Zio ECG Utilization Software (ZEUS) System is a software platform that processes and analyzes long-term continuous ECG data collected from compatible cardiac monitoring devices. It helps clinicians by automatically detecting and reporting cardiac arrhythmias and other relevant heart rhythm information, assisting in the diagnosis and management of cardiac conditions.
View detailsZio XT ECG Monitoring System, Zio AT ECG Monitoring System
Released:8/23/2019
Regulator:FDA
The Zio XT and Zio AT ECG Monitoring Systems by iRhythm Technologies, Inc. analyze continuous ECG data collected via wearable patches and generate detailed reports on cardiac events. These systems help clinicians diagnose heart rhythm abnormalities by providing comprehensive, beat-to-beat ECG analysis over long monitoring periods for patients with or without symptoms.
View detailsZio AT ECG Monitoring System, ZEUS System
Released:8/29/2018
Regulator:FDA
The Zio AT ECG Monitoring System and its ZEUS System component are used for long-term cardiac monitoring by capturing continuous ECG data and analyzing it with AI algorithms to detect arrhythmias. The system helps clinicians by automatically detecting and reporting symptomatic and asymptomatic cardiac events, allowing improved cardiac care and diagnostics.
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