Our Technology

Background
Wave

Signal Acquisition Reimagined

  • Multiple modalities – ECG, SPO2, Respiration, clinical data
  • High sampling rate
  • Proprietary HW & SW filtering
  • Preserves subtle signals
  • Real-time & offline noise/arrhythmia filtering
Heart

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
Heart

Cross Model Integration

  • Feature grouping to reduce dimensionality
  • Fuse bio signals & clinical data in stacked classifier
  • Accelerates research via dynamic data pipeline
Robotic hand

Deep Learning Meets Cardiology

  • Foundation models
  • Auto encoders
  • CNN, LSTM, RNN
  • Captures inter / intra subjects’ variability
  • Uncover latent dysfunctions