Implementation of adaptive filters for ECG Data Processing

One of the main problems in biomedical data processing like electrocardiography is the separation of the wanted signal from noises caused by power line interference, high frequency interference, extern electromagnetic fields and random body movements and respiration. Different types of digital filters are used to remove signal components from unwanted frequency ranges. It is difficult to apply filters with fixed coefficients to reduce random noises, because hum behaviour is not exact known depending on the time. Adaptive filter technique is required to overcome this problem. In the article two types of adaptive filters are considered. Results of simulations in MATLAB are presented. Filters were coded in MPLAB C compiler and tested on a digital signal processor of microchip family dsPIC30f6014, based on the results of modeling.