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Abstrakty
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
Słowa kluczowe
Rocznik
Tom
Strony
9--10
Opis fizyczny
Bibliogr. 3 poz.
Twórcy
autor
- 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.
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Bibliografia
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bwmeta1.element.baztech-936032b0-b40c-45d8-a382-4a969b2745a5