Mobile ECG Analysis

Mobile ECG Analysis

Electrocardiogram (ECG)

= Key diagnostic tool in heart disease

→ Unobtrusive ECG monitoring is needed

Detecting "Abnormal" Heart Beats

"Abnormal" heart beats might be indicators for an existing heart disease. Hence, recognizing "abnormal" out of "normal" beats is of major importance.

Citation

Articles in Conference Proceedings

Leutheuser, Heike; Gradl, Stefan; Kugler, Patrick; Anneken, Lars; Arnold, Martin; Achenbach, Stephan; Eskofier, Björn

Comparison of Real-Time Classification Systems for Arrhythmia Detection on Android-based Mobile Devices

IEEE EMBC 2014 (36th Annual International Conference of the IEEE EMBS), Chicago, Illinois, USA, August 26-30, 2014, pp. 2690-2693, 2014 (BiBTeX, Who cited this?)

Current State - Hearty 2.0

Here at the lab, we created an application called "Hearty". This application uses a three stage hierarchical classifier for the recommendation to see a physician in the case of symptoms.

Source code and more information of the Hearty 1.0 version application can be found Opens internal link in current window here.

We simplified the handling of the Hearty 2.0 compared to the first version to better adapt to the patient needs. The screenshot of Hearty 2.0 application is shown here:

Hearty 1.0



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Department of Computer Science 5 Our Team Leutheuser, Heike Projects Activity Recognition Cardiorespiratory System Mobile ECG Analysis Secondary Data Analysis Step Segmentation Lectures Publications Thesis Curriculum Vitae Research Publications Free Software Data Courses Curriculum Theses Press Releases Cooperations Open Positions LME Videos Ph.D. Gallery Contact Intranet Impressum Datenschutzerklärung Powered by	Dept. of Computer Sc. » Pattern Recognition » Our Team » Leutheuser, Heike » Projects » Mobile ECG Analysis Mobile ECG Analysis Electrocardiogram (ECG) = Key diagnostic tool in heart disease → Unobtrusive ECG monitoring is needed Detecting "Abnormal" Heart Beats "Abnormal" heart beats might be indicators for an existing heart disease. Hence, recognizing "abnormal" out of "normal" beats is of major importance. Citation Articles in Conference Proceedings Leutheuser, Heike; Gradl, Stefan; Kugler, Patrick; Anneken, Lars; Arnold, Martin; Achenbach, Stephan; Eskofier, Björn Comparison of Real-Time Classification Systems for Arrhythmia Detection on Android-based Mobile Devices IEEE EMBC 2014 (36th Annual International Conference of the IEEE EMBS), Chicago, Illinois, USA, August 26-30, 2014, pp. 2690-2693, 2014 (BiBTeX, Who cited this?) Current State - Hearty 2.0 Here at the lab, we created an application called "Hearty". This application uses a three stage hierarchical classifier for the recommendation to see a physician in the case of symptoms. Source code and more information of the Hearty 1.0 version application can be found here. We simplified the handling of the Hearty 2.0 compared to the first version to better adapt to the patient needs. The screenshot of Hearty 2.0 application is shown here: Hearty 1.0