Advanced Holter Monitoring Software for Clinical Accuracy

CardiacCloud AI's Holter monitoring software combines an intelligent ambulatory ECG platform with AI-driven beat classification to deliver physician-ready reports faster than any competing solution.

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Holter monitoring software device – Life Signals patch recorder connected to CardiacCloud AI ambulatory ECG platform

What Is Holter Monitoring Software?

Holter monitoring software processes continuous ambulatory ECG recordings captured over 24, 48, or 72 hours by a patient-worn recorder. Unlike resting 12-lead ECGs, Holter studies capture transient arrhythmias— atrial fibrillation, ventricular ectopy, conduction abnormalities—that would otherwise go undetected in a clinical setting.

CardiacCloud AI's Holter monitoring software runs on our cloud-based ambulatory ECG platform, meaning there is no local software to install, maintain, or upgrade. Studies upload automatically, AI pre-analysis runs within minutes, and the cardiologist receives a structured summary report ready for physician review.

Ambulatory ECG Platform Features

24 / 48 / 72-Hour Holter Analysis

Our Holter monitoring software automatically segments every 30-second epoch of multi-channel ECG data. Beat-by-beat classification using our arrhythmia analysis engine identifies clinically significant events and tags them for physician review within the ambulatory ECG platform.

AI Beat Classification

Powered by the same deep-learning engine behind our AI ECG software, the Holter monitoring software classifies more than 10 beat morphologies and detects AF burden, pause events, SVT runs, and ST changes with over 99 % sensitivity in clinical validation studies.

Automated Holter Reports

The ambulatory ECG platform generates a fully structured, physician-ready Holter report with representative strips, trend graphs, and a structured findings summary. Reports are editable within the platform before being electronically signed and delivered to the ordering provider.

Multi-Device Compatibility

Our Holter monitoring software accepts ECG data from every major recorder format—traditional 3-lead and 12-lead Holter devices, modern patch monitors (including Life Signals, iRhythm, and others), and remote cardiac monitoring systems via our cloud ECG platform API.

Seamless EHR Integration

Completed Holter reports and PDF summaries are transmitted via HL7 FHIR directly to Epic, Cerner, athenahealth, and other major EHR systems. The ambulatory ECG platform eliminates manual data re-entry and ensures the cardiac record is always current in the patient chart.

Cloud-Based Study Management

Track every Holter study from device hook-up to final report through a single dashboard. The Holter monitoring software provides real-time status updates, turnaround time analytics, and automated escalations for studies that require expedited physician review.

Why Choose CardiacCloud AI as Your Ambulatory ECG Platform?

Competing Holter monitoring software solutions require on-premise server hardware, complex maintenance contracts, and time-consuming manual editing. CardiacCloud AI's ambulatory ECG platform is built cloud-first, meaning your team can access studies and reports from any browser, on any device, anywhere in the world.

  • Faster turnaround: AI pre-analysis reduces manual editing time by up to 75 %.
  • Higher throughput: Process hundreds of Holter studies per day on a single subscription.
  • Zero infrastructure: No servers, no local software, no IT overhead.
  • Regulatory compliance: FDA 510(k)-cleared AI algorithms; HIPAA-compliant platform.
  • Multi-site ready: Centralised management for hospital networks and IDTF chains.
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