Multiple modalities – ECG, SPO2, Respiration, clinical data
High sampling rate
Proprietary HW & SW filtering
Preserves subtle signals
Real-time & offline noise/arrhythmia filtering
Unique Feature Extraction
Real-time Vectorcardiography
Long-duration variability analysis
Identifies ST elevation after fast beats
Acts as a natural stress test
Captures interactions between modalities
Cross Model Integration
Feature grouping to reduce dimensionality
Fuse bio signals & clinical data in stacked classifier
Accelerates research via dynamic data pipeline
Deep Learning Meets Cardiology
Foundation models
Auto encoders
CNN, LSTM, RNN
Captures inter / intra subjects’ variability
Uncover latent dysfunctions
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