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Zio ECG Utilization Software (ZEUS) System

iRhythm Technologies, Inc. • Cardiovascular • 05/21/2021

510(k)IEC 62304 Class C
FDA Summary PDF

Device Purpose

The Zio ECG Utilization Software (ZEUS) System is a software medical device intended to analyze long-term continuous ECG data from compatible monitors, using automated algorithms and review by Certified Cardiographic Technicians to produce reports aiding clinicians in diagnosing cardiac arrhythmias in adult patients. This iteration introduces ECG segment detection, including QT analysis, to enhance its analytical capabilities for non-critical care ambulatory monitoring.

Summary

The Zio ECG Utilization Software (ZEUS) System is a software platform designed to capture, analyze, and report symptomatic and asymptomatic cardiac events using continuous electrocardiogram (ECG) information from compatible single-patient-use monitoring devices. Indicated for patients 18 years or older who are not in critical care, the system processes ECG data to generate a final report detailing beat-to-beat information, including ectopic runs, ECG segments, rhythms, and heart rate measurements. This report is intended for review by clinicians to aid in arrhythmia diagnosis and management. The ECG analysis component of the ZEUS System is utilized by Certified Cardiographic Technicians (CCTs) who review the results from an automated ECG analysis platform before the final report is published and made available via a secure website. The ZEUS System, as part of the broader Zio Service, supports the Zio AT service by automatically detecting clinically actionable arrhythmias and managing various data transmissions. A key technological update in this version is the introduction of ECG segment detection, specifically including QT segment analysis, alongside its existing rhythm detection algorithms (ECGDL and ECGML). While no new clinical testing was performed for this update, nonclinical verification and performance testing confirmed that the device meets its design requirements and intended use, focusing on the safety and effectiveness of these modifications compared to its predicate.

AI Regulatory Concerns

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Jev reads the full FDA letter and returns calibrated concern probabilities per regulatory category. These are AI estimates, not regulatory advice.

Keywords

ZEUS SystemECG analysisarrhythmia detectioncardiac monitoringlong-term monitoringprogrammable diagnostic computerECG segment detectionQT analysisCertified Cardiographic Techniciansambulatory ECG

Device Metadata

Submission Number
K202527
Company
iRhythm Technologies, Inc.
Panel
Cardiovascular
Product Code
N/A
Data Type
Signals
Clinical Function
Assessment
AI Function
Analysis
AI Subclass
detection/diagnosis

Relevant Clinical Questions

  • Q1. How does the introduction of 'ECG segment detection', specifically QT analysis, improve the diagnostic yield or clinical decision-making compared to the predicate device which lacked this feature?; What are the specific performance characteristics (e.g., sensitivity, specificity, positive predictive value) of the ECGDL and ECGML algorithms for detecting various types of arrhythmias and ECG segments?; What is the defined process and criteria used by Certified Cardiographic Technicians (CCTs) to review and curate the reports generated by the automated ECG analysis platform?; Can the ZEUS System integrate with cardiac monitoring devices other than those specified (Zio XT Patch, Zio AT Patch, Zio Monitor), and how does data input from different devices affect analysis consistency?; How does the ZEUS System differentiate and prioritize 'clinically actionable arrhythmia' for the Zio AT service compared to other detected cardiac events, and what are the notification pathways for these actionable events?

Risk Classification

ESL Analysis
FDA Device ClassII

FDA Class II via 510(k) pathway; IEC 62304 Class C (software safety classification); Authorized before §524B enforcement

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Cybersecurity Evidence

Powered by SBOMator™

Based on AI-generated device summaries, not the full FDA submission. Items not detected here may still be present in the complete submission package.

Cyber Score25/100
SBOM Evidence⚠ Not mentioned in summary
Cyber Risk Assessment⚠ Not mentioned in summary
Postmarket Plan✓ Detected in Summary
§524B ApplicableNo

Supply Chain BOM Evidence

Based on the CycloneDX / OWASP ECMA-424 xBOM ecosystem. Detection is from the AI-generated summary.

SBOMSoftware Bill of Materials
- Not detected
ML-BOMMachine Learning Bill of Materials(algorithm)
✓ Detected
SaaSBOMSoftware-as-a-Service Bill of Materials(platform)
✓ Detected
HBOMHardware Bill of Materials
- Not detected
CBOMCryptography Bill of Materials
- Not detected
VDR/VEXVulnerability Disclosure Report / Vulnerability Exploitability eXchange
- Not detected
OBOMOperations Bill of Materials
- Not detected

Analysis:

• Analysis is based on the AI-generated device summary, not the full FDA submission package. Click "Analyze Full FDA PDF" below to scan the actual submission document.

• Evidence of ML-BOM, SaaSBOM detected in AI-generated device summary.

• This device was authorized before §524B took effect. Cybersecurity evidence requirements were less prescriptive at the time.

• Not detected in AI-generated device summary: SBOM, HBOM, CBOM, VDR/VEX, OBOM. These may be present in the full FDA submission.

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Zio ECG Utilization Software (ZEUS) System - iRhythm Technologies, Inc. | ESL FDA AI Device Intelligence