Arrhythmia Detection and Interpretation

The software required for ECG signal recognition and interpretation is developed and refined by the utilization of large databases, such as the one found on physionet.org MIT-BIH. The ECG dataset comprises several ECG recordings collected from multiple patients. These recordings are freely available for usage, as long as the source is properly acknowledged. Training the software via a wide variety of diseases makes it possible to recognize the electrical signal more easily, reducing the likelihood of false results and ensuring more accurate measurements.