What is FIR bandpass filter?

What is FIR bandpass filter?

Abstract: Finite impulse response(FIR) Band-pass filter is widely used in many digital signal processing. Its advantage is good linear phase character for designing any amplitude frequency characteristic, which is very critical to real-time digital signal processing.

Which filter is used for elimination of ECG interference?

When a notch or comb filter is used to eliminate power line (AC) interference in the recording of electrocardiograms (ECG), the performance of the notch filter with transient suppression is better than that of the conventional notch filter with arbitrary initial condition.

How do you reduce noise in power lines of ECG?

The power line interference (50Hz) from ECG signal can be removed by adaptive filtering while it’s harmonics and high frequency noise can be removed by implementing general notch rejection filters.

How can I remove wander noise from my ECG?

Baseline wander is a low-frequency noise of around 0.5 to 0.6 Hz. To remove it, a high-pass filter of cut-off frequency 0.5 to 0.6 Hz can be used. Powerline interference (50 or 60 Hz noise from mains supply) can be removed by using a notch filter of 50 or 60 Hz cut-off frequency.

How is the width function used in ECG filtering?

“  The width function is designed to reflect local signal properties such that the smooth segments of the ECG are subjected to considerable filtering whereas the steep slopes (QRS) remains essentially unaltered “  By making β(n)proportional to derivatives of the signal slow changes cause small β(n)]

Which is the best cut off frequency for ECG?

  The cut-off frequency should be selected so as to ECG signal information remains undistorted while as much as possible of the baseline wander is removed; hence the lowest-frequency component of the ECG should be saught.   This is generally thought to be definded by the slowest heart rate.

How is muscle noise related to narrow band filtering?

  Muscle noise can cause severe problems as low-amplitude waveforms can be obstructed “  Especially in recordings during exercise   Muscle noise is not associated with narrow band filtering, but is more difficult since the spectral content of the noise considerably overlaps with that of the PQRST complex