Biomedical digital signal processing: C-language examples and laboratory experiments for the IBM PC
Biomedical digital signal processing: C-language examples and laboratory experiments for the IBM PC
| Hi-index | 0.00 |
In many medical application, there is need to remove frequency components from a signal while leaving rest of spectrum unaltered. While recording ECG signal it gets corrupted due to different noise interferences and artifacts. Noise and interference are usually large enough to obscure small amplitude features of the ECG hat are of physiological or clinical interest. The bandwidth of the noise overlaps that of wanted signals, so that simple filtering cannot sufficiently enhance the signal to noise ratio. The present paper introduces the digital filtering method to cope with the noise artifacts in the ECG signal. The Chebyshev I and Chebyshev type II filters are applied on the ECG signal. The detailed design procedure with there responses are depicted in the paper. This article also gives the comparison of both types of the filter. It is found that both digital filters works satisfactory with some limitations. All the designs are implemented using MATLAB FDA tool. ECG data is acquired from the Instrumentation amplifier designed in the Laboratory. For the interfacing of ECG amplifier to the computer advantech 711B add on card has been used.