Online Continuous Monitoring of Time Domain Parameters of Heart Rate Variability Using MATLAB and Its Implementation on Human and Rat Electrocardiogram Data

The project calculates the heart rate variability using the variation in the consecutive R peaks in the electrocardiogram signals. The code can calculate various dependent factors based on the calculated R peak orientation. Meanrespiratory rate (RR), SD of NN (normal-to-normal)intervals (SDNN), mean heart rate, SD of heart rate, root mean square of successive differences between adjacent RR intervals (RMSSD), number of pairs of successive NN intervals that differ by more than 50 milliseconds (NN50), percentage of NN50 (pNN50), RR triangular index, and triangular interpolation of NN interval histogram (TINN) are the respective outputs of the project. Apart from the calculated parameters (mentioned above), several graphs are plotted at continuous time intervals. These graphs include the continuous plotting of the electrocardiogram signal with detected R peaks over time. Second, a tachogram of the time difference between consecutive R peaks and time is calculated. A separate graph for magnitude and frequency is also plotted. These data are used to govern fundamental as well as complex analogies about the signal source. The tachogram is fundamentally used to observe the behavioral change in the source. Observing the tachogram in the time domain can also help study intense emotions and calmness.