Operates on any device with a web browser, providing a flexible alternative to conventional ECG units
Utilizes the well-established NeuroKit2 Python library for robust analysis. Plots BPM variation and the mean PQRST cardiac cycle.
Simply plug and play on any machine with a web browser. All data is processed locally, ensuring regulatory compliance and enhanced privacy.
Provides enhanced diagnostic capabilities through multiple measurement modes.
The device costs less than £15 and our web hosting is free!
On average, uses less than half a thread when continuously plotting 5,000 data points at 60FPS.
Sampling frequency of 2.3kHz far exceeds the recommended 250 Hz for accurate cardiac analysis.
Open source design files, with KiCad schematics and layouts for amplifiers, multiplexers, and the entire ECG circuit. Additionally, simulation results and circuit models are available to help you understand and verify the performance of our device.
Explore our Repository