Cardiac Analysis

Advanced ECG analysis software

Cardiolund provides state-of-the-art software for analysis of cardiac databases and cardiac devices.

Software for automated parsing and rhythm analysis of ECGs

Cardiolund creates remarkable ECG analysis software based on decades of research and development. Our core product, the ECG Parser, combines the world's most advanced algorithms for cardiac signal analysis. Our software is integrated with a range of different ECG systems, and it is also used in clinical research.

The algorithms can handle from 1 to 12 leads ECG data, and are particularly well-suited for identification of rhythm deviations in simplified ECG signals, such as single lead recordings from mobile devices, and also Holter systems.

Atrial fibrillation (AF) screening performance of the ECG Parser has been evaluated in a large clinical study, involving more than 80 000 thumb-ECGs recorded in participants' own home without supervision, Cardiolund's ECG Parser correctly identified all patients with AF. The software also provided a close to 90% workload reduction, by focusing the physicians’ attention to the important cases, when trying to find AF episodes in the data.

The ECG Parser provides a detailed set of descriptors and a categorisation for each sample segment, or for selected events in an ECG signal. The rich meta data produced by the analysis are useful for both long term monitoring and screening purposes, and for a variety post-processing applications, such as statistical analysis, machine learning or AI based decision support systems.

When intergrating the ECG Parser with a medical system, a custom results data viewer, or a report generator, can be created to summarise the information in a format suitable for clinical interpretation by a physician. The ECG Parser software can also serve as analysis backend for a custom device user interface.

For large databases of recordings, the analysis results can be used to provide swift guidance for physicians, by highlighting the important cases or intervals. The detailed signal descriptors can also be used for searching, segmenting and filtering ECGs when researching pre-history for arrhythmias for a single patient, or across large patient groups.

Application areas for automatic ECG analysis software

ECG System Providers

  • Bring advanced ECG analysis to any networked ECG device.
  • Integrate with Cardiolund's software to deliver automated ECG signal analysis to connected mobile devices.
  • Increase product value by facilitating advanced ECG analysis to physicians and patients.

Healthcare Organisations

  • As part of their work with individual patients and ongoing studies, healthcare organizations can collect large databases with ECG data.
  • Cardiolund's software opens a window into this data, allowing for filtering, categorisation and searching of patients based on ECG parameters.

Researchers

  • Cardiolund works with researchers either directly or through our connections at Lund University. We may engage in projects by providing existing software or by developing new algorithms for evaluating ECG data for individual patients and patient groups.

  • Cardiolund's software can be made available for commercial R&D projects, as a safe, reliable, online and on-demand web service. ECG Parser has successfully been used in research projects, providing automated analysis of large databases of ECG data from many thousands of patients. Cardiolund can also deliver a customised solution, e.g., for guided analysis using a web based user interface.

Clinicians and Consumers

  • Choosing an ECG device that builds on Cardiolund's software, you get access to the most comprehensive ECG analysis software on the planet.

  • Our customers create ECG systems that reach both the consumer and the professional healthcare markets. See our references for a list of systems that integrate our software.