Digital signal processing in ECG recorder with Python-based software

• Autorzy: Kosiński W. , Owczarek A. , Jarocki B. , Momot M. , Płaczek M. , Zegartowski G. , Gacek A.
• Języki publikacji: EN

Abstrakty

EN

The aim of the paper is to present the possibilities and the advantages of using open source solution like Python and Linux in medical application development. An implementation of the QRS detection and classification is described as an example of integration of C++ and DSP toolkit in a Python application.

Słowa kluczowe

EN

electrocardiography; ECG recorder; QRS detection; digital signal processing; Python language; Linux; open source

PL

elektrokardiografia; urządzenie rejestrujące EKG; detekcja QRS; cyfrowe przetwarzanie sygnału; język programowania Python

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2003
• Tom: Vol. 6
• Strony: IT61--68
• Opis fizyczny: Bibliogr. 10 poz., rys., tab.

Twórcy

autor

Kosiński W.

autor

Owczarek A.

autor

Jarocki B.

autor

Momot M.

autor

Płaczek M.

autor

Zegartowski G.

autor

Gacek A.

Bibliografia

• [1] FRANKIEWICZ Z., ŁĘSKI J., PAWŁOWSKI A., Wybrane zagadnienia cyfrowego przetwarzania sygnałów biomedycznych. Skrypt Uczelniany, Nr 1705, Wydawnictwo Politechniki Śląskiej, pp. 9-15, Gliwice, 1993.
• [2] CDV - Committee Draft for Voting, Draft IEC 62D: 60601-2-51/Ed. 1. Medical Electrical Equipment, Part 2 - 51: Particular requirements for the safety, including essential performance of recording and analysing single channel and multi-channel electrocardiographs. 15 March 2001.
• [3] American National Standard Institute, Diagnostic electrocardiographic devices. ANSI/AAMI EC11-1991.
• [4] GIBIŃSKI P., OWCZAREK A., Assessment of low-frequency response of ECG recorders in relations to international requirements. Journal of Medical Informatics & Technologies, Vol. 4, pp. 63-66, University of Silesia, November 2002.
• [5] ALTED F., Processing and analysing very large amounts of data in Python. EuroPython Conference, Charleroi, Belgium, 25 June 2003.
• [6] LUTZ M., ASCHER D., Learning Python. O'Reilly, pp. 9-25, UK, April 1999.
• [7] PRECHELT L., An empirical comparison of C, C++, Java, Pearl, Python, Rexx, and Tcl for a search/string-processing program. Technical Report 2000-5, 34 pages, Universität Karlsruhe, Fakultät für Informatik, Germany, March 2000.
• [8] SHAFER G. D., Python is the enterprise. Builder.com, http://insight.zdnet.co.uk/software, July 2002.
• [9] Christoph Zywietz (BIOSIGNA) and Ronald Fischer (University of Hannover) How To Implement SCP-ECG, Part II. http://www.openecg.net/SCP_howto_II.pl
• [10] RIVERBANK COMPUTING LTD, SIP - Overview, http://www.riverbankcomputing.co.uk/about/index.php