Memristor Based Filter Design and Implementation for ECG Signal

Abstract

This paper presents memristor based filter implementation for a real time biomedical signal. The significance of this study is that the passive circuit element called memristor is completely linear in both experimental and simulation studies at high frequencies and becomes indistinguishable from normal resistance. The variation of the memristance value gives possibility to tune the cut-off frequency of the filter circuit. For this purpose, memristor based high-pass and low-pass filter circuits are constructed by simply replacing resistor with memristor emulator circuit in well-known R-C filter structures. The filter circuits are constituted on board and firstly sine wave is applied as input signal. Then, Electrocardiographic (ECG) signal is applied as input for M-C filter circuits. The results are obtained and analyzed in real-time. In the implementation stage of study, LabVIEW platform and DAQ card are used to obtain real-time data. The results show that memristor can be used quite easily to sort out biomedical signal processing applications and shows better performance.