Electrocardiographic (ECG) signals have several properties that can greatly complement the existing, and more established biometric modalities. Some of the most prominent properties are the fact that the signals can be continuously acquired using minimally intrusive setups, are not prone to produce latent patterns, and provide intrinsic liveliness detection, opening new opportunities within the area of biometric systems development. The potential impact of this technique extends to a broad variety of application domains, ranging from the entertainment industry, to digital transactions. In this paper, we present a framework for ECG biometrics, with focus on some of the latest developments and future trends in the field, covering multiple aspects of the problem with the aim of a real-world deployment. Our results so far, further reinforce the feasibility and interest of the method in a multibiometrics approach.