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.