An Electrocardiogram-based Authentication Implementation Integrated with the Blockchain

With the growth in the use of biometrics for authentication, a new approach has been growing in recent years. Cognitive biometrics has shown relevant results in the studies carried out. Likewise, in recent years, blockchain has been growing and expanding its use beyond cryptocurrencies and can be used in various market sectors. This work aims to analyze a new method for authentication on Electrocardiogram. It uses the Mean Squared Error formula and a private blockchain to store users' authentication samples. This work aims to analyze a new method for authentication in Electrocardiogram based on the Medium Quadratic Error formula and the storage of the samples for authentication of the users in a private blockchain, evaluating the feasibility of this approach. The results obtained prove that this method can be used for authentication through Electrocardiogram. Due to the level of correctness in relation to the comparison of the ECG of each user and distinction between them. In addition, the use of blockchain with its own resources presents an implementation comprising some security aspects related to the storage of information.