A Novel Linear Phase FIR High Pass Filter For Biomedical Signals

Linear phase FIR filters have many applications in the audio, imaging and other biomedical signal processing research areas due to its strong merits such as its stability, can have exact linear phase responses which will not introduce phase distortion into the signal and finally they are simple to implement. We have proposed a novel linear phase FIR high pass filter with a sharp transition with simple computations to achieve filtering just by varying the passband and stopband fiduciary edges. We synthesized our filter using real time EEG and ECG channels of an adult subject. The designed FIR filter effectively filtered the biomedical EEG and ECG signals with any passband edge and stopband edge with a maximum passband ripple of ± 0.18 dB and minimum stopband attenuation of 40 dB. Our proposed filter had flat passband and stopband as compared to the ripples seen in the magnitude response of Parks McClellan algorithm. The heart rate variability from the ECG signal was computed to have an average of about 90.14 bpm.