Hearth Detection System Using Coherence Function on python for Tachycardia and Bradycardia

When we see a heart problem the response time is crucial for a secure diagnostic. [1] In a previous work a functional prototype was made that allows to determine if a person has tachycardia or bradycardia as an existing pathology. The work was done using MATLAB software; however, this software is licensed and difficult to access since it is not free source. Under this limitation the prototype was reformulated in an open language known as PYTHON. The objective is to be able to achieve the same results as with the previous prototype without affecting the diagnosis. Based on this, a system was developed that diagnoses tachycardia and bradycardia with free software. Pathology detection is performed using a developed algorithm that mixes 3 comparison methods, such as cross spectrum. MSC and coherence. Upon capturing the ECG signal from the patient, the signal enters a DSP that uses these methods and will compare the entry ECG signal with a database created that contains all the possible existing signals according to the medical parameters corresponding to tachycardia and bradycardia. Resulting in a reliable diagnosis.