CardioWave
Cardiovascular Intelligence for Earlier Detection.
CardioWave uses advanced signal processing and artificial intelligence to analyse ECG and physiological signals for early detection of cardiovascular conditions, turning raw biometrics into predictive diagnostic clarity.
Advanced Signal Analysis
High-frequency waveform decomposition extracting micro-volt morphological shifts invisible to traditional telemetry monitors.
AI Pattern Recognition
Deep neural networks cross-referenced across multi-cohort clinical datasets to identify emergent arrhythmia signatures.
Early Detection of Cardiac Conditions
Predictive warnings for atrial fibrillation, ischemia, and heart failure deterioration hours before symptom presentation.
Research & Clinical Validation
Rigorous prospective multi-center university clinical trials validating real-world diagnostic precision and regulatory efficacy.
Applications
Scalable AI architecture built for seamless integration across hospital intensive care units, outpatient cardiology, and ambulatory settings.
Arrhythmia Detection
Automated classification of paroxysmal atrial fibrillation, ventricular tachycardias, and conduction blocks with instant escalation flags.
Risk Stratification
Dynamic cardiovascular scoring algorithms that assess 30-day major adverse cardiac event probability to guide targeted clinical care.
Remote Monitoring
Continuous home tele-health connectivity synchronizing patch biometrics with clinical dashboards for proactive outpatient oversight.
Clinical Research
Open APIs and standardized annotation libraries allowing academic research hubs to train bespoke models on anonymized physiological streams.
From signals to better outcomes.
AI for a healthier heart.
Medlenna CardioWave bridges the gap between raw medical telemetry and instant life-saving clinical decisions. Discover our validated trials or integrate our SDK into your medical hardware.
