WAVELET-BASED ST-SEGMENT ANALYSIS

A novel algorithm for ST-segment analysis is developed using the multi resolution wavelet approach. The system detects the QRS complexes and analyses each beat using the wavelet transform to identify the charact eristic points (fiducial points). These fiducial points are, iso-elect ric lever, the J point, and onsets and offsets of the QRS complex and T wave. The algorithm determines the T onset by looking for a point of inflection between the J point and the T peak. Furthermore, detection of characteristic points by the wavelet technique reduces the effect of noise. The results show that the proposed approach gives very accur ate ST levels, as compared to the conventional (empirical) technique, at higher heart rates and with different morphologies. The algorithm d etects the ST-segment length in 92.3% beats with an error of 4 ms, and in 97.3% beats the error is within 8 ms. The algorithm has been imple mented on a TMS320C25 based add-on DSP card connected to a PC to provi de the on-line analysis and display of ST-segment data.