3M+
cardiovascular deaths every year across ESC member countries
Resting ECG Analytics
AI analysis for every 1 to 12-lead resting ECG.
Cardiolyse reads standard resting ECGs from any device and returns rhythm, morphology and up to 300 ECG parameters as structured results — ready for cardiologist review in Cardiolyse ECG Workspace or delivered straight into your own systems through the API.
12-lead ECG analysed · 300 parameters extracted
0
ECG parameters and biomarkers per recording
0+
Arrhythmias detected across resting & Holter ECG
1M+
ECGs analysed over 10+ years of R&D
CE IIa
Certified medical device software under EU Regulations
Why it matters
Cardiovascular disease is still Europe’s biggest health challenge.
The ESC links reducing this burden to prevention and early detection, and flags gaps in access to advanced diagnostics in many countries. Routine resting ECGs are among the most widely available tests for finding problems early — and AI analysis turns each recording into a structured, reviewable report.
68M
healthy life-years lost to cardiovascular disease each year
50+
ESC countries where cardiovascular disease is the most common cause of death
2×
cardiovascular deaths in middle-income countries compared with high-income nations
Source: European Society of Cardiology, ESC Atlas of Cardiology, “Cardiovascular Disease Statistics 2025”, European Heart Journal, 2026 — ESC press release, 19 May 2026.
What the analysis returns
One recording in. A complete, structured read out.
Every resting ECG is analysed across all available leads. Results come back as measured values and findings your clinicians can check, edit and sign — not a black-box verdict.
Rhythm and arrhythmias
Sinus rhythm, atrial fibrillation and flutter, ectopic beats, brady- and tachyarrhythmias — classified from the full recording.
Intervals and axes
Heart rate, PR, QRS, QT, QTc (Bazett and Fridericia), P/QRS/T axes and wave durations, measured automatically and editable by the reader.
Conduction and repolarisation
Conduction disturbances such as AV blocks and bundle branch blocks, plus ST-segment and T-wave changes that call for a closer look.
Up to 300 ECG parameters
A deep parameter set for screening programmes and research — choose the biomarkers that matter for your use case.
Triage-ready conclusion
Each ECG is suggested into a clear category — normal, review or urgent — so readers can work the queue by priority.
Structured, adjustable output
Standards-compliant JSON through the API and an adjustable report format, so results fit your record rather than the other way round.
Cardiolyse ECG Workspace
Where your cardiologists review, edit and sign.
Resting ECG analytics come with a clinician-facing web workspace. The AI does the first read; your reader stays in control of every measurement, every word of the interpretation and the final sign-off.
- 1
Reading controls
Layout, speed, gain, zoom and calipers for measuring directly on the trace.
- 2
Editable measurements
AI-measured intervals and axes, marked auto and editable by the reader.
- 3
Interpretation text
Proposed findings in plain clinical language, fully editable before sign-off.
- 4
Conclusion categories
Normal, review, urgent and more — one click, or a keyboard shortcut.
- 5
Approve & next
Sign off and move straight to the next study in the worklist.
- 6
Full 12-lead view
The raw waveform stays in front of the reader for every decision.
How it works
From the ECG device to a signed read.
-
01
Record
Take a resting ECG on the device you already use — hospital cart, patient monitor, or a home-use ECG device with 1 to 12 leads.
-
02
Send
Recordings reach Cardiolyse through the REST API, a direct device integration or an upload. Paper and PDF ECGs can be digitised first.
-
03
Analyse
The AI extracts rhythm, intervals, morphology and up to 300 ECG parameters, and suggests a conclusion category.
-
04
Review & sign
A cardiologist confirms or edits the read in Cardiolyse ECG Workspace, and structured results flow back to your systems.
Technical fit
Works with the ECGs you already record.
Device-agnostic by design. Keep your existing ECG equipment and connect it to one analysis engine across every site.
Inputs
Any resting ECG
- 1-, 3-, 6- and 12-lead recordings
- EDF, XML, DICOM-ECG, PDF
- Proprietary vendor formats
- Paper and image ECGs via ECG Digitization
Outputs
Structured results
- Standards-compliant JSON via REST API
- Adjustable report format
- Clinician-reviewed reads in the Workspace
- Full audit trail of edits and sign-off
Deployment
Cloud or on-premises
- EU-hosted managed SaaS (default)
- Private cloud or on-premises options
- Workspace white-labelled or co-branded
- Documented ECG API & Integration
Who uses resting ECG analytics
Built for the teams that read ECGs at scale.
The same resting ECG engine serves care providers, device makers and research teams — each through the route that fits their workflow.
Healthcare providers
Hospitals, clinics and screening programmes
A consistent first read across sites and devices, with cardiologists focused on the ECGs that need them.
For Healthcare Providers → Device manufacturersOEMs embedding interpretation in their offering
Add certified resting ECG analysis to home-use ECG devices and wearables through one API.
For Device Manufacturers → Clinical trials & researchSponsors, CROs and research groups
Consistent ECG reads with 300 biomarkers of your choice and structured exports for analysis.
For Clinical Trials & Research →
Regulatory status
Certified medical device software.
Cardiolyse is CE-marked as Class IIa medical device software under EU Regulations,
built under an ISO 13485 quality management system with ISO 27001-aligned
information-security controls and NHS Digital Data Security and Protection Toolkit
compliance.
Certifications & Compliance
CE
CE-marked · Class IIa
Resting ECG analysis is CE-marked as Class IIa medical device software under EU Regulations. Technical documentation and clinical evaluation are available under NDA.
ISO
ISO 13485 · ISO 27001-aligned
Developed and maintained under a certified quality management system for medical devices, with information-security controls aligned to ISO 27001.
GDPR
GDPR · NHS DSP Toolkit
Health data is processed in line with GDPR, and Cardiolyse meets the NHS Digital Data Security and Protection Toolkit standards for handling UK patient data.
Frequently asked
Resting ECG analytics, answered.
Which ECG devices and formats are supported?
Any digital resting ECG from 1 to 12 leads, from hospital carts, patient monitors and home-use ECG devices. Common inputs include EDF, XML, DICOM-ECG, PDF and proprietary vendor formats. Paper or image ECGs can be converted first with ECG Digitization.
Does the analysis replace the cardiologist?
No. Cardiolyse is CE-marked as Class IIa medical device software and is designed to augment — not replace — clinician judgement. Cardiologist sign-off remains part of the workflow for regulated diagnostic use.
Can we use the analytics without Cardiolyse ECG Workspace?
Yes. Results are available as structured JSON through the REST API, so they can be shown in your own software. See ECG API & Integration.
Can the Workspace carry our brand?
Yes. The review dashboard can be white-labelled or co-branded (based on regulatory requirements) so it appears as part of your product rather than ours.
Can we test it on our own ECGs?
Yes. Send us a small anonymised batch and we will run it through the platform and walk you through the results. Contact us to set it up.
For everything else, see the full FAQ.
See resting ECG analytics on your own recordings.
Send us a small anonymised batch — we will run it through the platform and review the results with you in Cardiolyse ECG Workspace.