ECG Signal Processing Using DSK TMS320C6713
Indu Udai · IOSR Journal of Engineering · 2012
Electrocardiogram (ECG) is widely used for diagnosis of heart diseases.Good quality ECG is utilized by physicians for interpretation and identification of physiological and pathological phenomena.However, in real time, ECG recordings are often corrupted by noises and their presence can only be revealed after the applications of appropriate signal processing tools.Dominant artifacts present in ECG recordings are highfrequency noises caused by electromyogram induced noise, power line interferences, or mechanical forces acting on the electrodes and baseline wander that may be due to respiration or the motion of the patients or the instruments.These artifacts severely limit the utility of recorded ECGs and thus need to be removed for better clinical evaluation.Various algorithms are available for ECG signal processing of which we adopt Pan-Tompkins algorithm, build in MATLAB.Further implementation can be done using Texas Instrument`s one of the most powerful processors, TMS320C6713 DSK that offers fast computation capability.