We work with leading global research institutions to pioneer a new era in diagnostic cardiology
The web-based platform is very simple and user-friendly. After uploading the raw signal of the ECG, we get access to a detailed report within a few hours.
MD, PhD, Prof. Michael Kühne
Head of Clinic Atrial Fibrillation, University Hospital Basel
We build robust clinical evidence to deploy the benefits of AI into diagnostic Cardiology with our partners
The Gluco-Starve Study
Basel, Switzerland
The assessment of HRV in the context of understanding the impact of glucocorticoids on physiological adaptations to fasting.
Swiss Atrial Fibrillation Cohort Study (SWISS-AF)
Basel, Switzerland
The assessment of heart rhythm in the context of the complex relationship between atrial fibrillation, stroke, and systemic embolism.
AI for the investigation of cardiovascular disease risk among patients with and without HIV.
New York, United States and Tanzania, Africa
The assessment of cardiac arrhythmias in the context of guiding clinicians and shaping public health initiatives to reduce the cardiovascular disease burden in Africa
Effect of low levels of dysfunctional oxidized high-density lipoproteins on atrial fibrillation
Brandenburg an der Havel, Germany
The assessment of heart rhythm in the context of dysfunctional, oxidized high-density lipoprotein, an important risk factor for cardiovascular disease
The Gluco-Met Study
Basel, Switzerland
The assessment of HRV in the context of the dynamics of energy homeostasis during glucocorticoid excess in diabetic patients.
The Gluco-Feed Study
Basel, Switzerland
The assessment of HRV in the context of the impact of glucocorticoids on body weight regulation
ECG Algorithms for pediatric patients
Warsaw, Poland
The assessment of heart rhythm in the context of automatic analysis of cardiac arrhythmias and conduction patterns in pediatric patients
Our scientific board guides our product and clinical roadmap
Celebrating Excellence in Cardiology!
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Cardiomatics Certified Excellence 2025 is a first-of-its-kind, independent, data-driven benchmark recognizing the top-performing Holter recorders based on measurable clinical signal quality. |