Implementation of non-integer order filtering of various biomedical signals – pilot study

• Autorzy: Czuczwara Wojciech
• Języki publikacji: EN

Abstrakty

EN

In this paper an idea of using non-integer order filtering for the purpose of analysis of various biomedical signals was presented. The paper is more of a conceptual character, where the very early stage of the research was described. Also some basics regarding bi-fractional filtering (BFF) were in short described together with some of the most popular filters of non-integer order recently frequently implemented for the purpose of analysis of biomedical signals such as EEG, EMG and ECG

• Wydawca: Oficyna Wydawnicza Politechniki Opolskiej
• Czasopismo: Zeszyty Naukowe. Elektryka / Politechnika Opolska
• Rocznik: 2015
• Tom: z. 71
• Strony: 9--10
• Opis fizyczny: Bibliogr. 3 poz.

Twórcy

autor

Czuczwara Wojciech

• Faculty of Electrical Engineering, Automatic Control and Informatics Institute of Control and Computer Engineering

Bibliografia

• [1] FERDI Y.: “Fractional order calculus-based filters for biomedical signal proessing”, 1st Middle East Conference on Biomedical Engineering (MECBME), 21–24 February2011, pp. 73–76, IEEE, 2011.
• [2] BARANOWSKI J., PIATEK P., KAWALA-JANIK A., ZAGOROWSKA M., BAUER W., DZIWINSKI T.: “Non-integer Order Filtration of Electromyographic Signals”, Lcture Note in Electrical Engineering: Advances in Modelling and Control of Noninteger Order Systems, Vol. 320, pp. 231–237, Springer Verlag.
• [3] CHAND R., TRIPATHU P., MATHUR A., RAY K.C.: “FPGA implementation of fast FIR low pass filter for EMG removal from ECG signal”, Interntional Conference on Power, Control and Embedded Systems (ICPCES), pp. 1–5, IEEE, 2010.