Study of Information Flow Among ECG Leads

The main scope of this research is to analyze the flow of information of ECG signals of 12 leads. This study examines the information provided by each electrocardiography (ECG) lead, in order to reveal which of them offers greater information to contribute to the diagnosis and treatment of cardiovascular diseases. The results highlight the importance of identifying the most informative leads, which could improve accuracy in detecting cardiac conditions, guide more informed clinical decisions and contribute to the design of future diagnostic devices. In order to achieve this, two mathematical tools such as mutual information and transfer entropy were applied. For the study, two independent databases were employed to made all the calculations and obtain repeatability of patterns as a kind of confirmation of the results. The conceptual simplicity of the used tools makes this proposal simple to implement, computationally efficient and practically straightforward to interpret.