Neuromorphic processors comprise hybrid analog/digital circuits that implement hardware models of biological systems, using computational principles analogous to the ones used by the nervous systems. The neuromorphic devices exhibit very slow, biologically plausible, time constants to well match the signals they are designed to process, such that they are inherently synchronized with the real-world signals they sense and act on. This leads to the advantage of ultra-low power processing of natural sensory signals, which is particularly important in biomedical and prosthetic applications. In addition, neuromorphic technology offers the possibility to process the data directly on the sensor side, at the "edge", in real-time, making them ideal for wearable solutions. In this presentation, a general concept of neuromorphic engineering is introduced, together with some practical use cases.