ECG 2.0
Visualize atrial activity better, treat better.

We combine the latest advances in research and technology to make ECGs more powerful and improve outcome prediction for rhythm control therapies for Atrial Fibrillation (AF). Our solution is fast, simple and non-invasive.

YourRhythmics is supported by:
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Power up your cardiac arrhythmia research.

Our extended ECG solution is revolutionizing the way cardiac arrhythmias and atrial arrhythmias specifically are researched, modelized and better understood. Here’s how:

feature-icon Deeper insights

Uncover the true atrial activity. Visualize better, understand better, treat better.

Ease_of_use_icon-1 Ease of use

High resolution ECG acquisition and advanced analysis in just one click.

Non-invasive_icon Non-invasive

Full characterization of the atrial complexity, non-invasively.

Personalized_Treatment_icon (1) (1) Personalized treatment

Extended ECG-derived parameters are paving the way towards personalized therapy.

Discover our future-ready ECG solutions.

ECG Acquisition System YRS100
Cardiac Amplifier
YRS100 Cardiac Amplifier

 

The YRS100 is a 40-channel cardiac amplifier capable of measuring high-quality ECG-signals non-invasively.

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New ECG Acquisition System YRS100
Extended ECG Acquisition Module
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The YRS100 ECG Acquisition Module supports the cardiac amplifier and provides tools for easy configuration and setup, data visualization, storage, and review and export of data.

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New Software YRS100
Extended ECG Analysis Suite
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The YRS100 Extended ECG Analysis Suite is an interactive environment for multimodal ECG data processing and analysis.

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ECG cables and accessories FIAB Esoflex 10S
Trans-oesophageal lead
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FIAB Esoflex 10S polyurethane catheters with 10 olive‐shaped stainless steel ring electrodes with an inter-electrode spacing of 10 mm each for trans-oesophageal acquisition of ECG's.

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Research.

Researchers from the groups of Prof. Dr. U. Schotten and Prof. Dr. H. Crijns from the Maastricht University Medical Center performed extensive research on non-invasive characterisation of atrial fibrillation (AF) substrate complexity based on the electrocardiogram (ECG). How the ECG-derived parameters quantifying AF complexity can improve outcome prediction and be used to optimize therapy for each individual AF patient is featured in many research publications, some of which are presented below.

Atrial Fibrillation Complexity Parameters Derived From Surface ECGs Predict Procedural Outcome and Long-Term Follow-Up of Stepwise Catheter Ablation for Atrial Fibrillation Theo Lankveld, MD; Stef Zeemering, MSc; Daniel Scherr, MD, PhD; Pawel Kuklik, PhD; Boris A. Hoffmann, MD, BSc; Stephan Willems, MD, PhD; Burkert Pieske, MD, PhD; Michel Haïssaguerre, MD, PhD; Pierre Jaïs, MD, PhD; Harry J. Crijns, MD, PhD; Ulrich Schotten, MD, PhD Read more +
P-wave complexity in normal subjects and computer models Mark Potse, Theo A.R. Lankveld, Stef Zeemering, Pieter C. Dagnelie, Coen D.A. Stehouwer, Ronald M. Henry, André C. Linnenbank, Nico H.L. Kuijpers and Ulrich Schotten Read more +
Automated quantification of atrial fibrillation complexity by probabilistic electrogram analysis and fibrillation wave reconstruction S. Zeemering, B. Maesen, J. Nijs, D. H. Lau, M. Granier, S. Verheule and U. Schotten Read more +
The need for standardization of time- and frequency-domain analysis of body surface electrocardiograms for assessment of the atrial fibrillation substrate Ulrich Schotten, Bart Maesen and Stef Zeemering Read more +
Systematic analysis of ECG predictors of sinus rhythm maintenance after electrical cardioversion for persistent atrial fibrillation Theo Lankveld, MD Cees, B. de Vos, MD, PhD, Ione Limantoro, MD, Stef Zeemering, PhD, Elton Dudink, MD, MSc, Harry J. Crijns, MD, PhD, Ulrich Schotten, MD, PhD Read more +
The electrocardiogram as a predictor of successful pharmacological cardioversion and progression of atrial fibrillation Stef Zeemering, Theo A.R. Lankveld, Pietro Bonizzi, Ione Limantoro, Sebastiaan C.A.M. Bekkers, Harry J.G.M. Crijns and Ulrich Schotten Read more +
RACE 9 - Observe AF (Device-based rate versus rhythm control treatment in patients with symptomatic recent-onset atrial fibrillation in the emergency department Read more +
MAESTRIA (Machine Learning Artificial Intelligence Early Detection Stroke Atrial Fibrillation) Read more +
EXACT-IN-AF (Extended Automated ECG Characterization To Investigate Atrial Fibrillation) Read more +
ISOLATION (Intensive Molecular and Electropathological Characterization of patientS undergOing atriaL fibrillATion ablatION) Read more +
Atrial Fibrillation Complexity Parameters Derived From Surface ECGs Predict Procedural Outcome and Long-Term Follow-Up of Stepwise Catheter Ablation for Atrial Fibrillation Theo Lankveld, MD; Stef Zeemering, MSc; Daniel Scherr, MD, PhD; Pawel Kuklik, PhD; Boris A. Hoffmann, MD, BSc; Stephan Willems, MD, PhD; Burkert Pieske, MD, PhD; Michel Haïssaguerre, MD, PhD; Pierre Jaïs, MD, PhD; Harry J. Crijns, MD, PhD; Ulrich Schotten, MD, PhD Read more +
P-wave complexity in normal subjects and computer models Mark Potse, Theo A.R. Lankveld, Stef Zeemering, Pieter C. Dagnelie, Coen D.A. Stehouwer, Ronald M. Henry, André C. Linnenbank, Nico H.L. Kuijpers and Ulrich Schotten Read more +
Automated quantification of atrial fibrillation complexity by probabilistic electrogram analysis and fibrillation wave reconstruction S. Zeemering, B. Maesen, J. Nijs, D. H. Lau, M. Granier, S. Verheule and U. Schotten Read more +
Systematic analysis of ECG predictors of sinus rhythm maintenance after electrical cardioversion for persistent atrial fibrillation Theo Lankveld, MD Cees, B. de Vos, MD, PhD, Ione Limantoro, MD, Stef Zeemering, PhD, Elton Dudink, MD, MSc, Harry J. Crijns, MD, PhD, Ulrich Schotten, MD, PhD Read more +
The electrocardiogram as a predictor of successful pharmacological cardioversion and progression of atrial fibrillation Stef Zeemering, Theo A.R. Lankveld, Pietro Bonizzi, Ione Limantoro, Sebastiaan C.A.M. Bekkers, Harry J.G.M. Crijns and Ulrich Schotten Read more +
RACE 9 - Observe AF (Device-based rate versus rhythm control treatment in patients with symptomatic recent-onset atrial fibrillation in the emergency department Read more +
MAESTRIA (Machine Learning Artificial Intelligence Early Detection Stroke Atrial Fibrillation) Read more +
ISOLATION (Intensive Molecular and Electropathological Characterization of patientS undergOing atriaL fibrillATion ablatION) Read more +

About YourRhythmics.

YourRhythmics was founded in 2016 as a spin-off of Maastricht University/Maastricht University Medical Center to develop a decision support tool for personalized treatment of patients suffering from AF based on non-invasive high resolution extended ECG. YourRhythmics aims to shorten the treatment time of AF patients and increase the success rate of the treatment identified as the best therapy for each individual patient.

YourRhythmics operates from its office at Brightlands Maastricht Health Campus. Its solutions are developed in close cooperation with key researchers of the Maastricht University CARIM School for Cardiovascular Diseases, Maastricht Instruments BV, a product incubator for innovative medical devices, and AIM BV, a specialized manufacturer of electromechanical medical devices.

 

Team
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Marjorie Imhoff Marketing and Sales
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Mike Kozlowski Product Development
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Dick van Waes General Affairs
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Virginia Keizer Quality Assurance and Regulatory Affairs
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Uli Schotten Scientific Affairs
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Dave Hampton Research and Technology
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Louk Jongen Business Creation

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