The YRS100 is a CE approved 40-channel cardiac amplifier capable of measuring non-invasive ECG-signals. The device records these signals with a sampling rate of 2 kHz per channel and a 24 bits resolution to provide excellent signal quality. 


The safety class of the YRS100 is Class I-CF, which makes this device suitable for clinical research on patients (suspected of) suffering from cardiac arrhythmias.

Two ECG cables are included to connect with 2 x 10 body surface electrodes. The bipolar and unipolar channels can be used to record an esophageal or body surface ECG.


All patient connections are isolated from the PC and the mains side and the system is defibrillation proof.




The YRS100 data acquisition software supports the cardiac amplifier and provides tools for easy configuration and setup, data visualization, storage, and review and export of data. Signals and parameters can be checked in the display mode, stored to disk, reviewed in the offline mode or exported for further analysis.

The YRS100 data acquisition software is developed for cardiologists who perform clinical studies with different subjects and is for research purposes only. Subject data like name, age, gender and other study specific parameters can be easily linked to the ECG data.

The recording time of the ECG signals can be freely chosen by the user and there is no limitation in recording time. Raw signals can be filtered with specific high-pass, low-pass and notch filters. All data can be exported to a file format to analyse in programs like Matlab.



The YRS100 AF analysis software is an interactive environment for multimodal ECG data processing and analysis. ECG characterization is done by published algorithms  for P-,Q-,R-,S- and T-wave detection


The calculation of the complexity of Atrial Fibrillation is based on studies done by researchers from the Cardiovascular Research Institute Maastricht (Prof.dr. U. Schotten, Prof.dr. H.J.G.M. Crijns)

Studies show that combining the calculated atrial fibrillation frequency, complexity parameters and clinical parameters can be used as a predictors dor rhythm outcome to guide individualised

rhythm control strategies in the future.


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