Cardiolund blog

Creating the future of ECG analysis

Clinical performance of ECG Parser on home based recordings

A new study that reports on the clinical performance of the Cardiolund ECG Parser has been published: Åke Olsson, Symptom-Ruled Real World Arrhythmic Recordings With an Internet Based System, Circulation 2018;138:A12893.

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ECG Parser version 2 is released

A new major version 2.0 of the Cardiolund ECG Parser is released today. The focus of this release is on improving the specificity of the review groups used in atrial fibrillation (AF) screening of large databases with home based thumb-ECG recordings.

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Grant for developing AI-based system for outcome prediction

The Swedish Governmental Agency for Innovation Systems (Vinnova) has awarded a research grant) of 1.2 million SEK to a project partnership between Cardiolund, Coala Life and Region Gävleborg.

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Cardiolund Research is now Cardiolund

We are consolidating our business, and will move forward with a more concise company name: “Cardiolund Research AB” is now “Cardiolund AB”.

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Certified ECG software

Cardiolund have completed the ISO 13485 compliance assessment, and we now have a fully certified quality management system for developing medical device software. We have also CE marked the ECG Parser (and associated products). It is now certified as a Class IIa medical software for automated rhythm analysis of ECGs.

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Safe automatic screening for AF using Cardiolund ECG Parser

There is a growing interest in identifying AF patients at an early stage to be able to intervene the progression of the condition and to prevent stroke cases. Identifying AF patients may be complicated by factors such as AF being without symptoms (silent AF) for many patients, and the variety of non-critical arrhythmia that are found in ECGs in an ageing population.

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Detection of Atrial Fibrillation in home-based ECG measurements

There are multiple challenges when it comes to detection of atrial fibrillation (AF) in simplified home-based ECG measurements. In Cardiolund Research we create software algorithms that overcome these challenges, and enables automatic ECG analysis of simplified home-based measurements, for screening purposes.

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Profile of Cardiolund

The Swedish newspaper Sydsvenskan has today published an article about Cardiolund (in Swedish). The same article is also printed on the economy pages of today’s edition of the newspaper, see photo below.

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On the usefulness of AFR analysis and trending

The atrial fibrillatory rate (AFR) is an exciting topic that I’ve had the opportunity to research on over the last two decades, in my work with algorithms for signal processing of ECGs. Today we have a state-of-the-art algorithm for calculating atrial fibrillatory rate, which has important use cases in the prediction of spontaneous AF termination, or termination induced by DC conversion, anti-arrhythmic drugs and ablation procedures.

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What is an ECG parser?

We have built a powerful software tool we call the ECG Parser. This software transforms an ECG signal, or an entire database of ECG signals, into a very detailed description of the content.

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Seeing the iceberg under the surface

The electrocardiogram (ECG) and its standardised measures have been guiding cardiologists for more than 100 years. Today it’s considered a mature technology that provides huge benefits to medical diagnosis and treatment all over the world.

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