Cardiac Analysis

Advanced ECG analysis on demand

CardioLund Research provides professional state-of-the-art ECG analysis services for cardiac databases and cardiac devices.

CARDIAC ANALYSIS SERVICES

CardioLund Research supplies on-demand biomedical signal analysis over the Internet through a safe and reliable computation service based on a collection of advanced algorithms.

All computation services are available through the web application and through a simple HTTP REST based API, which enables fully automated analyses.

Our online services include the best available algorithms for analysis of ECG signals from patients with atrial fibrillation (AF). We deliver expert analysis of AF signals to clinicians and researchers.

ACCESS THE SERVICES

Create an account now and get access to the web application and API services.

With an account you get full access to the computation service and can customize the settings to suit your needs.

Researchers

Researchers can evaluate ECG data for individual patients or patient groups using advanced algorithms.

The API allow for automated analysis of large databases with ECG data from thousands of patients.

Guided analysis can be performed using the web based user interface.

System Developers

Bring advanced ECG analysis to any Internet connected device.

Integrate the service directly in the device or through a backend server.

Increase product value by facilitating advanced ECG analysis service to end-users.

Software Developers

Build remarkable analysis software using the API.

Interface generic ECG devices and make comprehensive analysis services.

Get API access on a demand or service basis.

CARDIOLUND RESEARCH AB

CardioLund Research operates from a basis of 15 years of research on analysis of atrial fibrillation signals. CardioLund Research owns three patents related to calculation of the Atrial Fibrillation Rate (AFR).

AFR has been used in numerous clinical studies investigating atrial signal properties in relation to prediction of DC conversion, drug therapy and ablation therapy outcome and recurrence, for prediction of spontaneous termination in paroxysmal cases of AF, for monitoring of antiarrhythmic drug actions, and for evaluation of spontaneous and intervention-induced autonomic changes.

Services provided via Cardiolund.com are based on well-tested methodologies and a long experience with analysis of AF signals. The research behind Cardiolund.com have been presented in 40+ scientific journal papers and our software has been succesfully applied to tens of thousands of ECGs.

CardioLund Research was founded in 2010 by three researchers at Lund University, Sweden, (Martin Stridh, Leif Sörnmo, Bertil Olsson) together with EPiQ Life Science AB

BOARD MEMBERS

Per Sundström, CEO, EPiQ Life Science AB

Kenneth Danehorn, Head of R&D, EPiQ Life Science AB

Martin Stridh, Associate Professor of biomedical signal processing

Leif Sörnmo, Professor of biomedical signal processing

Bertil Olsson, Professor of cardiology

SERVICES

Cardiolund provides a computing service with advanced ECG analysis algorithms available through a web app and a HTPP REST based API.

The web app allows for guided analysis with data upload using a web browser. This is ideal for researchers, software developers and others who can use the app to upload data, perform analysis and download the computed results.

The API allows for building continuous automatic analysis services. This is attained with an API client, which processes data from a storage point specified by the user. This service can be used by researchers as well as third party apps and medical systems connected to the Internet.

CardioLund does not store any user provided input data after the analysis is complete. Computed result data are automatically removed from our servers 48 hours after calculations have completed.

The service listing below provides an overview of the algorithms. For a more thorough presentation, please refer to our references or contact us for more information.

Service Listing

  • BasicECG

    BasicECG

    Performs basic ECG analysis including beat detection, simple rhythm analysis and average beat calculation.

  • BasicECG Premium

    BasicECG Professional

    Performs a complete ECG analysis so that ECGs and average beats can be annotated. Lead V1/1 is analyzed in more detail with regards to atrial fibrillation.

  • AFscreener

    AFscreener

    Performs ECG analysis for the purpose of indicating atrial fibrillation, atrial flutter and sinus rhythm.

  • AFscreenerThumb

    AFscreenerThumb

    Performs Thumb-ECG analysis for the purpose of indicating atrial fibrillation, atrial flutter and sinus rhythm.

  • AFRreport

    AFRreport

    Analyzes AF signal features such as AFR. Produces a pdf-report.

  • AFRreport IE

    AFRreport IE

    Analyzes AF signal features such as AFR. In addition, invasive signal are applied to spectral analysis and compared to lead V1/1. Produces a pdf-report.

  • residualECG

    ResidualECG

    Calculates the residual ECG after QRST cancellation of lead V1/1.

  • AFRdrugresponse

    AFRdrugresponse

    Performs detailed analysis of AF signal features including AFR every minute of a longer recording and outputs an xls-sheet with the main results.


Supported data formats

The current API version accepts data files in the JSON and CSV formats. The lead order in the data, if it is standard 12-lead ECG, must be (V1-V6,I-III,aVR,aVL, aVF). We are open to support other formats, please contact us with your suggestions for other formats.


SCIENTIFIC LEADERSHIP

Cardiolund is at the leading edge of scientific research in analysis of ECG signals from patients with atrial fibrillation (AF). The algorithms we provide have root in extensive research carried out by Cardiolund and our research partners.

Our methodology related to atrial fibrillation has been presented and applied in the following scientific journal papers:


Scientific References


Left atrial appendage activity translation in the standard 12-lead ECG.
Platonov PG, Nault I, Holmqvist F, Stridh M, Hocini M, Haïssaguerre M.
J Cardiovasc Electrophysiol. 2011 Jun;22(6):706-10. doi: 10.1111/j.1540-8167.2010.01909.x. Epub 2010 Oct 6. (PubMed link)

A novel approach to propagation pattern analysis in intracardiac atrial fibrillation signals.
Richter U, Faes L, Cristoforetti A, Masè M, Ravelli F, Stridh M, Sörnmo L.
Ann Biomed Eng. 2011 Jan;39(1):310-23. Epub 2010 Aug 28. (PubMed link)

Letter by Platonov et Al regarding article, Dominant frequency of atrial fibrillation correlates poorly with atrial fibrillation cycle length
Platonov PG, Stridh M, Sörnmo L.
Circ Arrhythm Electrophysiol. 2010 Apr 1;3(2):e4; author reply e5. No abstract available. (PubMed link)

Circadian variation in dominant atrial fibrillation frequency in persistent atrial fibrillation.
Sandberg F, Bollmann A, Husser D, Stridh M, Sörnmo L.
Physiol Meas. 2010 Apr;31(4):531-42. Epub 2010 Mar 5. (PubMed link)

Right atrial organization and wavefront analysis in atrial fibrillation.
Richter U, Bollmann A, Husser D, Stridh M.
Med Biol Eng Comput. 2009 Dec;47(12):1237-46. Epub 2009 Oct 15. (PubMed link)

A genotype-dependent intermediate ECG phenotype in patients with persistent lone atrial fibrillation genotype ECG-phenotype correlation in atrial fibrillation.
Husser D, Stridh M, Sörnmo L, Roden DM, Darbar D, Bollmann A.
Circ Arrhythm Electrophysiol. 2009 Feb;2(1):24-8. (PubMed link)

Atrial fibrillatory rate and risk of stroke in atrial fibrillation.
Bollmann A, Husser D, Lindgren A, Stridh M, Härdig BM, Piorkowski C, Arya A, Sörnmo L, Olsson SB.
Europace. 2009 May;11(5):582-6. Epub 2009 Mar 14. (PubMed link)

Relation between atrial fibrillatory rate and markers of inflammation and haemostasis in persistent human atrial fibrillation.
Tveit A, Bollmann A, Seljeflot I, Husser D, Stridh M, Sörnmo L, Arnesen H, Olsson SB, Smith P.
Thromb Haemost. 2009 Mar;101(3):601-3. No abstract available. (PubMed link)

Waveform characterization of atrial fibrillation using phase information.
Stridh M, Husser D, Bollmann A, Sörnmo L.
IEEE Trans Biomed Eng. 2009 Apr;56(4):1081-9. Epub 2008 Oct 31. (PubMed link)

Spectral validation improves frequency tracking obtained by time-frequency analysis during atrial fibrillation.
Corino VD, Mainardi LT, Stridh M, Sornmo L.
Conf Proc IEEE Eng Med Biol Soc. 2008;2008:5733-6. (PubMed link)

Improved time--frequency analysis of atrial fibrillation signals using spectral modeling.
Corino VD, Mainardi LT, Stridh M, Sörnmo L.
IEEE Trans Biomed Eng. 2008 Dec;55(12):2723-30. (PubMed link)

Analysis of atrial fibrillation: from electrocardiogram signal processing to clinical management.
Sörnmo L, Stridh M, Husser D, Bollmann A, Olsson SB.
Philos Transact A Math Phys Eng Sci. 2009 Jan 28;367(1887):235-53. Review. (PubMed link)

Fibrillatory rate response to candesartan in persistent atrial fibrillation.
Bollmann A, Tveit A, Husser D, Stridh M, Sörnmo L, Smith P, Olsson SB.
Europace. 2008 Oct;10(10):1138-44. Epub 2008 Jul 28. (PubMed link)

Spatial characteristics of atrial fibrillation electrocardiograms.
Richter U, Stridh M, Bollmann A, Husser D, Sörnmo L.
J Electrocardiol. 2008 Mar-Apr;41(2):165-72. (PubMed link)

Frequency tracking of atrial fibrillation using hidden Markov models.
Sandberg F, Stridh M, Sörnmo L.
IEEE Trans Biomed Eng. 2008 Feb;55(2 Pt 1):502-11. (PubMed link)

A Gaussian mixture model for time-frequency analysis of atrial fibrillation electrocardiograms.
Corino VD, Mainardi LT, Bollmann A, Husser D, Stridh M, Sörmno L.
Conf Proc IEEE Eng Med Biol Soc. 2007;2007:271-4. (PubMed link)

Frequency tracking of atrial fibrillation using Hidden Markov Models.
Nilsson F, Stridh M, Sörnmo L.
Conf Proc IEEE Eng Med Biol Soc. 2006;1:1406-9. (PubMed link)

Atrial fibrillatory rate and risk of left atrial thrombus in atrial fibrillation.
Bollmann A, Husser D, Stridh M, Holmqvist F, Roijer A, Meurling CJ, Sörnmo L, Olsson SB.
Europace. 2007 Aug;9(8):621-6. Epub 2007 Jun 29. (PubMed link)

Exercise testing for non-invasive assessment of atrial electrophysiological properties in patients with persistent atrial fibrillation.
Husser O, Husser D, Stridh M, Sörnmo L, Corino VD, Mainardi LT, Lombardi F, Klein HU, Olsson SB, Bollmann A.
Europace. 2007 Aug;9(8):627-32. Epub 2007 Jun 26. (PubMed link)

Electrocardiographic characteristics of fibrillatory waves in new-onset atrial fibrillation.
Husser D, Cannom DS, Bhandari AK, Stridh M, Sörnmo L, Olsson SB, Bollmann A.
Europace. 2007 Aug;9(8):638-42. Epub 2007 Apr 30. (PubMed link)

Transthoracic tissue Doppler imaging of the atria to determine atrial fibrillation cycle length.
Bollmann A, Husser D, Stridh M, Sörnmo L.
J Cardiovasc Electrophysiol. 2007 Mar;18(3):E13-4. Epub 2007 Jan 30. No abstract available. (PubMed link)

Validation and clinical application of time-frequency analysis of atrial fibrillation electrocardiograms.
Husser D, Stridh M, Cannom DS, Bhandari AK, Girsky MJ, Kang S, Sörnmo L, Bertil Olsson S, Bollmann A.
J Cardiovasc Electrophysiol. 2007 Jan;18(1):41-6. (PubMed link)

Detection and feature extraction of atrial tachyarrhythmias. A three stage method of time-frequency analysis.
Stridh M, Bollmann A, Olsson SB, Sörnmo L.
IEEE Eng Med Biol Mag. 2006 Nov-Dec;25(6):31-9. Review. No abstract available. (PubMed link)

Analysis of surface electrocardiograms in atrial fibrillation: techniques, research, and clinical applications.
Bollmann A, Husser D, Mainardi L, Lombardi F, Langley P, Murray A, Rieta JJ, Millet J, Olsson SB, Stridh M, Sörnmo L.
Europace. 2006 Nov;8(11):911-26. Review. (PubMed link)

Electroatriography - time-frequency analysis of atrial fibrillation from modified 12-lead ECG configurations for improved diagnosis and therapy.
Husser D, Stridh M, Sörnmo L, Toepffer I, Klein HU, Bertil Olsson S, Bollmann A.
Med Hypotheses. 2007;68(3):568-73. Epub 2006 Oct 9. (PubMed link)

Atrial fibrillatory rate and sinus rhythm maintenance in patients undergoing cardioversion of persistent atrial fibrillation.
Holmqvist F, Stridh M, Waktare JE, Sörnmo L, Olsson SB, Meurling CJ.
Eur Heart J. 2006 Sep;27(18):2201-7. Epub 2006 Sep 6. (PubMed link)

Frequency analysis of atrial fibrillation from the surface electrocardiogram.
Husser D, Stridh M, Sornmo L, Olsson SB, Bollmann A.
Indian Pacing Electrophysiol J. 2004 Jul 1;4(3):122-36. (PubMed link)

Atrial fibrillation signal organization predicts sinus rhythm maintenance in patients undergoing cardioversion of atrial fibrillation.
Holmqvist F, Stridh M, Waktare JE, Roijer A, Sörnmo L, Platonov PG, Meurling CJ.
Europace. 2006 Aug;8(8):559-65. Epub 2006 Jul 10. (PubMed link)

Indices of electrical and contractile remodeling during atrial fibrillation in man.
Holmqvist F, Stridh M, Waktare JE, Sörnmo L, Roijer A, Meurling CJ.
Pacing Clin Electrophysiol. 2006 May;29(5):512-9. (PubMed link)

Prediction of sinus rhythm maintenance following DC-cardioversion of persistent atrial fibrillation - the role of atrial cycle length.
Meurling CJ, Roijer A, Waktare JE, Holmqvist F, Lindholm CJ, Ingemansson MP, Carlson J, Stridh M, Sörnmo L, Olsson SB.
BMC Cardiovasc Disord. 2006 Mar 13;6:11. (PubMed link)

Comparison of atrial signal extraction algorithms in 12-lead ECGs with atrial fibrillation.
Langley P, Rieta JJ, Stridh M, Millet J, Sörnmo L, Murray A.
IEEE Trans Biomed Eng. 2006 Feb;53(2):343-6. (PubMed link)

Predicting spontaneous termination of atrial fibrillation using the surface ECG.
Nilsson F, Stridh M, Bollmann A, Sörnmo L.
Med Eng Phys. 2006 Oct;28(8):802-8. Epub 2006 Jan 25. (PubMed link)

Rapid fluctuations in atrial fibrillatory electrophysiology detected during controlled respiration.
Holmqvist F, Stridh M, Waktare JE, Brandt J, Sörnmo L, Roijer A, Meurling CJ.
Am J Physiol Heart Circ Physiol. 2005 Aug;289(2):H754-60. (PubMed link)

Pilot study: Noninvasive monitoring of oral flecainide's effects on atrial electrophysiology during persistent human atrial fibrillation using the surface electrocardiogram.
Husser D, Binias KH, Stridh M, Sornmo L, Olsson SB, Molling J, Geller C, Klein HU, Bollmann A.
Ann Noninvasive Electrocardiol. 2005 Apr;10(2):206-10. (PubMed link)

Analysis of the surface electrocardiogram for monitoring and predicting antiarrhythmic drug effects in atrial fibrillation.
Husser D, Stridh M, Sornmo L, Platonov P, Olsson SB, Bollmann A.
Cardiovasc Drugs Ther. 2004 Sep;18(5):377-86. Review. (PubMed link)

Time-frequency analysis of the surface electrocardiogram for monitoring antiarrhythmic drug effects in atrial fibrillation.
Husser D, Stridh M, Sornmo L, Geller C, Klein HU, Olsson SB, Bollmann A.
Am J Cardiol. 2005 Feb 15;95(4):526-8. (PubMed link)

Determinants and prognostic significance of immediate atrial fibrillation recurrence following cardioversion in patients undergoing pulmonary vein isolation.
Husser D, Bollmann A, Kang S, Stridh M, Sornmo L, Olsson SB, Bhandari AK, Cannom DS.
Pacing Clin Electrophysiol. 2005 Feb;28(2):119-25. (PubMed link)

Echocardiographic and electrocardiographic predictors for atrial fibrillation recurrence following cardioversion.
Bollmann A, Husser D, Steinert R, Stridh M, Soernmo L, Olsson SB, Polywka D, Molling J, Geller C, Klein HU.
J Cardiovasc Electrophysiol. 2003 Oct;14(10 Suppl):S162-5. (PubMed link)

Frequency measures obtained from the surface electrocardiogram in atrial fibrillation research and clinical decision-making.
Bollmann A, Husser D, Stridh M, Soernmo L, Majic M, Klein HU, Olsson SB.
J Cardiovasc Electrophysiol. 2003 Oct;14(10 Suppl):S154-61. (PubMed link)

Sequential characterization of atrial tachyarrhythmias based on ECG time-frequency analysis.
Stridh M, Sörnmo L, Meurling CJ, Olsson SB.
IEEE Trans Biomed Eng. 2004 Jan;51(1):100-14. (PubMed link)

Detection of autonomic modulation in permanent atrial fibrillation.
Stridh M, Meurling C, Olsson B, Sörnmo L.
Med Biol Eng Comput. 2003 Nov;41(6):625-9. (PubMed link)

Non-invasive assessment of atrial fibrillation (AF) cycle length in man: potential application for studying AF.
Meurling CJ, Sörnmo L, Stridh M, Olsson SB.
Ann Ist Super Sanita. 2001;37(3):341-9. Review. (PubMed link)

Characterization of atrial fibrillation using the surface ECG: time-dependent spectral properties.
Stridh M, Sörnmo L, Meurling CJ, Olsson SB.
IEEE Trans Biomed Eng. 2001 Jan;48(1):19-27. (PubMed link)

Spatiotemporal QRST cancellation techniques for analysis of atrial fibrillation.
Stridh M, Sörnmo L.
IEEE Trans Biomed Eng. 2001 Jan;48(1):105-11. (PubMed link)

Attenuation of electrical remodelling in chronic atrial fibrillation following oral treatment with verapamil.
Meurling CJ, Ingemansson MP, Roijer A, Carlson J, Lindholm CJ, Smideberg B, Sornmo L, Stridh M, Olsson SB.
Europace. 1999 Oct;1(4):234-41. (PubMed link)

GET IN TOUCH

If you need more information or have any questions about our services, please contact us using the following form. You are also welcome to send us an email at info@cardiolund.com.

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