TBC algorithm to detect r-peak and HRV analysis for ischemia heart disease

Heart Rate Variability (HRV) analysis is the ability to assess overall cardiac health and the state of the autonomic nervous system (ANS), responsible for regulating cardiac activity. ST-change due to ischemia and their HRV analysis have not been well discussed in the previous works. The proposed simple and time efficient TBC algorithm has been tested in four sets of standard databases with selected patient´s data having ischemi conditions (i.e.MIT-BIH Normal-Sinus Rhythm Database (NSRDB), European ST-T Database (EDB), MIT-BIH ST Change Database (STDB) & Long-Term ST Database (LTSTDB))for the detection of R-peak & HRV analysis. The pre-processing is done by MAF and DWT to remove the baseline drift and noise induced in the ECG signal. The mean/average of HR is calculated for each set of databases and in case of EDB it is of 57 BPM (subjected to bradycardia). The Probability with normal distribution is analyzed by comparing the NSRDB data with the ischemic data sets. The performance of this algorithm is found to be 98.5%.