Nowadays, more than 450 millions of people around the world suffer from mental disorders. One of the main problems of that type of illnesses is the lack of early detection, generally due to the reduced number of professionals specialized in mental health, especially in low- and middle-income countries. This article aims at describing the process of construction of an m-Health system that supports the collection of clinical data, including EEG signals, in order to assist the initial assessment of neurologic problems. The system has been mainly developed by using low-cost technology, implemented under the open-source platform SANA, and integrating a non-professional EEG device for the acquisition of bioelectric signals of the brain. The functionalities of this application and its usefulness have been evaluated by a group of six experts who concluded that a) the system implements 100% of the functionalities described in the system design phase, and b) the usefulness of the system's functionalities is 96%.