"Cloud ECG & HRV analytics platform for real-time remote heart health monitoring, detection and up to 2 months' data-based prognosis on dangerous heart events."
Cardiolyse delivers a holistic approach to prevent heart disorders for elevated risk groups, using innovative, CE-certified and clinically proven machine-learning algorithms.
We integrate with any type of digital ECG device, monitor and analyze any leads number ECG recording, detecting all types of Arrhythmias, Atrial Fibrillation, Myocardial Infarction, Ventricular Hypertrophy and other cardiac abnormalities. Our patent-pending Universal ECG Overall Wellbeing Score and Personal Baseline form the personalized patient reports and recommendations.
Cardiolyse's comprehensive clinically-proven, CE-certified, yet affordable tracking of all-known vital parameters is used to ease and speed-up the patient diagnosticating for General Practitioners and healthcare providers.
Our platform enables healthcare system cost burden reduction, driven by eliminated physician office visits and dangerous heart events prevented through timely disease detection and cure.
Cloud device-agnostic comprehensive heart analytics platform
Innovative, patent-pending and CE-certified machine-learning algorithms
Scientific background of more than 25 years of cardiology practices, researches and PhD works
Universal ECG, Overall Wellbeing Score and Personal Baseline development
Predictive analysis with up to 2 month critical heart events prediction
Any digital ECG device API integration
Any leads number device ECG recordings processing and analysis
Both doctor's and patient's interface, Web and Mobile applications
Product recommendations, vendor rankings, market overview and tips on how to select Healthcare software for business. Published in March 2021.
Healthcare software solutions offer a wide range of services that assist in and support the management of hospitals and healthcare practices. Products such as these allow businesses to keep track of appointments, medical records and help improve overall eff...FREE DOWNLOAD Healthcare-Software-Buyer-Guide-2018.pdf
We are applying machine learning to scads of heart health data, helping:
- healthcare providers to eliminate unnecessary health services,
- driving the reduction of the insurance cost burden,
- developing a Diabetes CVD prevention market for pharma companies
- and enabling patients to take control of their lifestyle and live longer.
doctor - patient
manager - critical safety worker
have a fully integrative API
Personalized heart health management