Build next generation ECG & PPG Wearables
with real-time analytics and long battery life

Our biomedical library provides designers with a complete solution for implementing real-time analytics for wearable in ECG and PPG applications on industry standard Arm Cortex-M microcontrollers, such as the popular STM32 family.

The high accuracy of our ECG RCF algorithm and Advanced Analytics Engine (AAE) has been verified by cardiologists, and can be used with an additional ML model or standalone to provide people with valuable insights into potentially fatal health conditions, such as A-Fib, PVC, Bradycardia and Tachycardia heart arrhythmias without the need for an expensive medical examination at a hospital.

The Challenges for ECG & PPG product developers

Preserving the sharpness of the peaks
Most filtering operations broaden the R-peaks and warp the QRS complex
Baseline wander (BLW) cancellation
BLW manifests itself as low-frequency ‘wander’ (typically <0.5Hz) from EMG and torso movement. It must be removed for accurate clinical analysis.
Meeting FDA signal specifications
Designing filters to IEC 60601-2 2-47 compliance is tricky.
Low cost processor with long battery life
Most algorithms have been designed for research in Matlab and not for real-time, e.g. wavelets have excellent performance but have high computational cost, leading to poor battery life and the need for an expensive processor.
Clinical feedback & validation
Access to cardologists and high quality training data are hard to find

ASN smart algorithms & technology for ECG & PPG measurement

Together with cardiologists from Medisch Spectrum Twente, ASN’s advanced analytics team developed the RCF (retrospective collaborative filtering) algorithm that uses time-frequency analysis to enhance the ECG data in real-time.

The essence of RCF algorithm centres around a highly optimised set of polynomial cleaning filters with different frequency characteristics that are applied to different segments of the QRS complex for enhancement.

The polynomial filters are peak preserving, meaning that they preserve the delicate biomedical peaks while smoothing out the unwanted noise/ripple.

AAE (Advanced Analytics Engine) that automatically cleans and find these features for robust A-Fib, PVC, Bradycardia, Tachycardia heart arrhythmia analysis.