Our company
Medical technology of the latest generation
Khawaja Medical Technology offers latest generation medical technology. Cardiology is a matter of the heart. That’s why we give our all to advance medical technology and help physicians improve the diagnosis and treatment of their patients. For us, a happy customer means more satisfied patients.
Our core competencies are the development of medical software, algorithms and systems using the latest development techniques and with the use of advanced data analysis and bio-signal processing methods such as Artificial Intelligence and Machine Learning. Khawaja Medical Technology GmbH is approved by TÜV Süd according to ISO13485:2016 for the development of medical algorithms and software for cardiology.
TÜV SÜD Zertifikat DE
TÜV SÜD Zertifikat EN
EU Quality Management System Certificte (MDR)
Management
Dr.-Ing. Antoun Khawaja
CEO
Dr. Antoun Khawaja is the Managing Director and Chief Scientist Officer of Khawaja Medical Technology GmbH. He received his Diploma in Biomedical Engineering with honors from Damascus University before earning his PhD summa cum laude in Electrical and Biomedical Engineering from Karlsruhe Institute of Technology (KIT).
After more than eighteen years of intensive professional experience as a scientist, development engineer, and manager in the industry, including Cardinal Health, Pfizer, and ERT, Dr. Khawaja is considered a key expert in the field of advanced biosignal processing, especially in cardiology.
He developed state-of-the-art algorithms for fully automated diagnosis of heart disease using analysis of electrocardiographic signals. He also succeeded in developing a method to predict certain life-threatening cardiac events hours before they actually occur.
Using the concept of model-based design, he and his team are currently working on novel cardiac systems and algorithms for various applications, platforms and purposes.
Publications
Peer-review Journals & Peer-review Conferences
First Author
- A. Khawaja, A Full-Automatic Software Program for Analyzing ECG in Holter Applications” in Proc. Computers in Cardiology, Rimini, Italy, in Print, 2020
- A. Khawaja, Maximizing the Reliability of a Full-Automatic ECG-Waveforms Delineating Algorithm Using Extensive ECG Databank” in Proc. Computers in Cardiology, Singapore, Singapore, vol. 46, DOI: 10.23919/CinC49843.2019.9005577, 2019
- A. Khawaja, A Highly-Reliable Full-Automatic System for Analyzing ECG Waveforms in Real Time Applications” in Proc. Computers in Cardiology, Singapore, Singapore, vol. 46, DOI: 10.23919/CinC49843.2019.9005577, 2019
- A. Khawaja, A Novel Algorithm for Full-Automatic ECG Interpretation and Diagnostics” in Proc. Computers in Cardiology, Maastricht, The Netherlands, vol. 45, ISSN: 2325-887X DOI: 10.22489/CinC.2018.229, 2018
- A. Khawaja, A Novel Algorithm for Full-Automatic Multipurpose ECG Delineation” in Proc. Computers in Cardiology, Maastricht, The Netherlands, vol. 45, ISSN: 2325-887X DOI: 10.22489/CinC.2018.209, 2018
- A. Khawaja, J. Litwin, T. Auzinger, W. O’Rourke, T. Devine, A. Furlong, C. Lehmann and R. Fischer, Analyzing the delineation precision of Hannover ECG System (HES): A validation study,” in Proc. Computers in Cardiology, Hangzhou, China, vol. 38, pp. 617-620, 2011
- A. Khawaja, R. Petrovic, A. Safer, O. Dossel and R. Fischer, Analyzing Thorough QT Study 1 & 2 in the Telemetric and Holter ECG Warehouse (THEW) using Hannover ECG System HESR: a Validation Study,” in Proc. Computers in Cardiology, Belfast, UK, vol. 37, pp. 349{352, 2010
- A. Khawaja and O. Dossel, Detecting Predisposition to Torsade De Points Using a PCA-BasedMethod,” in Proc. Computers in Cardiology, Valencia, Spain, vol. 33, ISSN 0276-6547, pp. 161{164, 2006
- A. Khawaja and O. Dossel, Predicting QRS Complex and Detecting Small Changes in QRS Complex Using Principal Component Analysis,” Biomedizinische Technik/Biomedical Engineering Journal, Biosignalverarbeitung Impulsgeber in der Biomedizinischen Technik , vol. 52, issue 1, pp. 11{17, 2007.
- A. Khawaja and O. Dossel, PCA-Based Con dence Measure for Automatic ECG Segmentation,” in CD Proc. Biomedizinische Technik,Zurich, Switzerland, 2006
- A. Khawaja and O. Dossel, A PCA-Based Technique for QRS Complex Estimation,” in Proc. Computers in Cardiology,Lyon, France, vol. 32, pp. 747{750, 2005
- A. Khawaja, S. Sanyal and O. Dossel, Temporal Analysis of Multi- Channel QRS complexes using PCA,” in Proc. Biomedizinische Technik, Nuerenberg, Germany, vol. 50, pp. 277{778, 2005
- A. Khawaja, S. Sanyal and O. Dossel, A Wavelet-Based Technique for Baseline Wander Correction in ECG and Multi-Channel ECG,” in Proc. IFMBE, Umea, Sweden, vol. 9, pp. 291{292, 2005
- A. Khawaja, S. Sanyal and O. Dossel, ECG Segmentation Using Wavelet Transformation,” in Proc. IFMBE, Prague, Czech Republic, vol. 11, 2005
Co-author
- C. Lehmann, J. Reinstadtler and A. Khawaja, Detection of Power-Line Interference in ECG Signals using Frequency-Domain Analysis,” in Proc. Computers in Cardiology, Hangzhou, China, vol. 38, pp. 821-824, 2011
- C. Lehmann and A. Khawaja, A Novel Multi-lead Method for Clustering Ventricular Ectopic Heartbeats,” in Proc. Computers in Cardiology, Hangzhou, China, vol. 38, pp. 749-752, 2011
- M. Llamedo, A. Khawaja and JP. Martinez, Analysis of 12-lead Classi cation Models for ECG Classi cation,” in Proc. Computers in Cardiology, Belfast, UK, vol. 37, pp. 673{676, 2010
- T. Baas, F. Gravenhorst, A. Khawaja and O. Dossel, Comparison of three T-Wave Delineation Algorithms based on Wavelet Filterbank, Correlation and PCA,” in Proc. Computers in Cardiology, Belfast, UK, vol. 37, pp. 361{364, 2010
- R. Petrovic, A. Khawaja, J. Steininger and T.K. Zywietz, A Novel Single-Channel Real-Time Event Monitoring Software for Extremely Hardware- Limited ECG Devices,” in Proc. Computers in Cardiology, Park City, Utah, USA, 2009
- T.K. Zywietz, A. Khawaja, R. Petrovic, R. Fischer and J. Reinstadtler,Increasing Patient Safety in Drug Trials with Computer Based Analysisa Study with 13.000 Resting ECGs,” in Proc. Computers in Cardiology, Park City, Utah, USA, 2009
- S. Seitz, A. Khawaja and O. Dossel, PCA-Based Method for Clustering T-waves,” in CD Proc. Biomedizinische Technik, Zurich, Switzerland, 2006
- J. Bohnert, A. Khawaja and O. Dossel, ECG Segmentation usingWavelet Analysis,” in CD Proc. Biomedizinische Technik, Aachen, Germany, ISSN 0939-4990, vol 52, September 2007
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Phone: +49 8985 836094
E-Mail: info@khawaja-medtech.com
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