A certified analytics engine
CE Class IIa ECG analytics for resting, Holter and wearable recordings, from 1 to 12 leads.
Research & Development
A research partner for ECG-based biomarkers, algorithms and validation.
Cardiolyse works with university hospitals, research groups and industry on ECG-derived biomarkers, algorithm co-development and clinical validation — bringing a CE Class IIa analytics engine, hundreds of ECG parameters and more than ten years of ECG research.
ECG parameters · research-ready exports
0+
Years of ECG analytics R&D
1M+
ECGs analysed
0
ECG parameters per recording
CE Class IIa
Medical device software under EU Regulations
What we bring
The ECG analytics layer for your research.
Partners bring the clinical question, the cohort and the outcomes. Cardiolyse brings the ECG analysis, the engineering and the validation experience.
Up to 300 ECG parameters
Rhythm, morphology, intervals, HRV metrics and composite scores for every recording, as structured data.
Biomarker discovery
Screen ECG-derived markers against your outcomes to find the ones that predict disease and progression.
Algorithm co-development
Develop and tune algorithms with your clinical team for a new indication, device or population.
Clinical validation
Design and run validation studies, retrospective or prospective, with methods ready for publication.
Secure data handling
GDPR-aligned processing and ISO 27001-aligned security, with pseudonymised data wherever possible.
Use cases
Research and pilots with clinical partners.
Each collaboration answers a different question — from outcome prediction to workflow in a hospital setting.
Clinical validation
Cardiolyse Risk of Heart Disorders score predicts heart failure outcomes in the MyoVasc study
The Risk of Heart Disorders score predicted worsening heart failure and all-cause death, independently of NT-proBNP and the MAGGIC score.
Read the study
Hospital pilot
Cardiolyse improves cardiovascular care at Oxford University Hospitals
Taken through TheHill Oxford’s formal pipeline to pilot stage at the John Radcliffe Hospital, with one of OUH’s leading cardiologists.
Read the case
Clinical pilot
Post-ablation telemonitoring with GVM Care & Research at Maria Cecilia Hospital
Post-ablation patients followed at home for twelve weeks, with the arrhythmology and electrophysiology team assessing the workflow.
Read the case
How a collaboration runs
From research question to published result.
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01
Question
We define the clinical question, the cohort, the outcomes and the ECG data together.
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02
Data
ECG recordings are shared under an agreed data protection framework, pseudonymised where possible.
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03
Analyse
Cardiolyse processes the recordings and delivers ECG parameters and scores as structured data.
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04
Validate
Your team links the results to outcomes. We support the statistics, methods and publication.
Partnership models
Choose how we work together.
Data analysis
Retrospective study
Run Cardiolyse analytics on an existing ECG cohort and link the parameters to outcomes you already hold.
Co-development
Joint algorithm project
Build or adapt an algorithm for a new indication or device, with shared milestones and validation.
Funded research
Grant-funded consortium
Join a national or EU-funded project as the ECG analytics partner. See EU Projects.
Frequently asked
Research partnerships, answered.
Which institutions do you work with?
University hospitals, research groups, CROs and industry partners. Recent work includes the University Medical Center Mainz, Oxford University Hospitals and GVM Care & Research.
Can we get the raw ECG parameters?
Yes. For research, results are delivered as structured data with the ECG parameters and scores in scope, ready for your statistical analysis.
Who owns the results?
Ownership, publication rights and data use are agreed in the collaboration agreement before the work starts.
Can you join a grant application?
Yes. Cardiolyse regularly joins consortia as the ECG analytics and validation partner. See EU Projects for current interests.
How is data protected?
Data is processed under GDPR-aligned terms with ISO 27001-aligned security, and pseudonymised wherever the study allows.
For everything else, see the full FAQ.
Have a research question that needs ECG analytics?
Tell us about the cohort and the outcome. We will suggest how Cardiolyse can contribute.