The focus of this manuscript is on utilizing NI LabVIEW (VirIst) software to monitor real-time electrocardiogram (ECG) data from the human body. By processing the data utilizing the program's digital filtering capabilities, the digital filtered version of the ECG signals, as well as the raw ECG signals, may be shown in real-time. The ECG alone may give diagnostic information, and the VirIst biomedical toolbox contains a variety of tools for data processing and feature extraction. As a consequence, this software was selected for ECG data collecting. In this study, HR of a patient is computed by identifying intervals of RR on an ECG recording. The technique was evaluated in many trials with a total of 12 people (6 healthy + 6 non-healthy). In both calm and running settings, their ECG signals were recorded. The experimental findings were documented for graphical and statistical analysis. As a result of the findings, the effect of non-healthy on HR was investigated