Cardiolyse is a cloud-based ECG and HRV analytics platform that utilizes machine-learning algorithms to monitor heart health in real-time, providing personalized reports and detecting arrhythmias and other cardiac conditions. The platform predicts heart attacks and strokes up to two months in advance, enabling timely intervention for high-risk individuals.
Funding
Funding not disclosed
GFFounders
Product
Problem
Traditional methods of heart health monitoring often require in-person visits to healthcare providers, limiting the ability to continuously track cardiac function in real-time. This can lead to delayed detection of critical heart events, especially for individuals in elevated risk groups or those with diabetes-related cardiovascular comorbidities. Furthermore, accurately predicting heart attacks and strokes remains a challenge, hindering timely preventive interventions.
Solution
Cardiolyse offers a cloud-based ECG and HRV analytics platform that enables real-time remote heart health monitoring through integration with various digital ECG devices. The platform employs clinically-proven machine-learning algorithms to analyze up to 400 vital ECG parameters, detecting arrhythmias, atrial fibrillation, myocardial infarction, and ventricular hypertrophy. Cardiolyse utilizes patent-pending Universal ECG and Personal Baseline Scores to predict heart attacks and strokes up to two months in advance. The system provides personalized reports on vital cardiac parameter values, facilitating timely adjustments to medication and lifestyle, thereby increasing access to preventive care and reducing healthcare system costs.
Target Audience
Cardiolyse is designed for cardiologists, general practitioners, healthcare providers, and elevated risk groups, including individuals with diabetes, seeking comprehensive and affordable heart health monitoring. It also caters to the corporate sector for fatigue risk management in critical safety job performers.
Features
- Integration with any leads digital ECG device for real-time remote monitoring
- Analysis of up to 400 vital ECG parameters using clinically proven machine-learning algorithms
- Detection of arrhythmias, atrial fibrillation, myocardial infarction, and ventricular hypertrophy
- Patent-pending Universal ECG and Personal Baseline Scores for precise prediction of heart attacks and strokes
- Personalized reports on vital cardiac parameter values for timely intervention
- Solutions for diabetes cardiovascular comorbidities prevention and fatigue risk management
- CE-certified for medical-grade heart health analytics