Cardiolyse analyses 1- to 3-channel Holter recordings beat by beat. It counts every beat, classifies rhythms and ectopic beats, flags tachycardia and bradycardia runs, measures intervals and scores signal quality — across the full recording.
Each 1- to 3-lead recording is processed from start to finish. Results come back as counts, findings, events and measurements that a qualified healthcare professional can review and confirm.
Long recordings capture the full picture. The analysis walks the whole signal, labels each beat and marks the stretches that meet event criteria — while noisy segments are identified rather than counted as rhythm.
The patient wears a 1- to 3-lead Holter recorder or ECG patch for the monitoring period your service defines.
Recordings reach Cardiolyse through the REST API, a direct device integration or an upload. Paper and PDF ECGs can be digitised first.
Beats are detected and classified, rate-based events flagged, intervals measured and signal quality scored across the full recording.
Findings return as structured data and a report, ready for review by a qualified healthcare professional in your own system.
Designed to sit behind recorders, patches and monitoring services, so analysis happens in the background and results land where your team already works.
Holter ECG analytics is built for 1- to 3-lead recordings — single-channel patches and 2- or 3-channel Holter recorders. For 12-lead resting ECGs, see Resting ECG Analytics.
It counts beats (QRS detection) and identifies normal sinus rhythm, atrial fibrillation, 1st-degree AV block, premature ventricular and atrial contractions, tachy-brady patterns and sinus pauses. It also measures P-wave duration, PR/PQ, QRS and QT intervals and summarises heart rate.
Artifact and noise detection identifies non-physiological signal segments, and every beat receives a quality and confidence score, so unreliable stretches are visible instead of being counted as rhythm.
As structured JSON through the REST API and as a PDF report, so they can be shown in your own platform or monitoring service. Results support qualified healthcare professionals, who review and confirm the findings.
Yes. Send us a small set of anonymised 1- to 3-lead recordings and we will walk you through the results. Contact us to set it up.
Send us a few anonymised 1- to 3-lead recordings — we will analyse them and review the results with you.
