In this article, we propose a first research about the electroencephalographic signals for supporting in some person whit physical disabilities, for example, the movement of a wheelchair. The brain, along with the heart, are the most important organs of the human being is the center of the nervous system, making complex but important functions such as self-control, planning, reasoning and abstract thinking as well as vision. Addition is the organ lies the mind and consciousness of the person. A BCI system is the technique that allows the control of equipment with a proper interface with the brain once it has received the appropriate signals. The aim of this work is to lay a foundation for the development of complete support systems for mobilization of people with disabilities in Ecuador. That's why a BCI system has been developed, it shows where the reception of a cognitive response of the brain produced by the moving of a limb intention produces the movement of the hardware. In this case an electrical wheelchair, which will have the user´s affective responses and visual feedback. This work ends with comments and suggestions for further research process in this line to Ecuador.Index Terms -robotics, BCI systems, wheelchair, digital signal processing, and brain signals.I.

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Abstract-A nurse call system is used to improve the patient assistance and to make efficient use of the hospital staff. The aim of this project is to analyze the use of a Wireless Sensor Network (WSN) that works as an alarm center, emergency calls and as abnormal environmental parameters. The system allows knowing the temperature, relative humidity (RH) and the level of CO2, in different hospital areas, which will ease the preventive management of environmental emergencies. Moreover, the system enables to know the response time and the nurses' attention, providing statistics that will help to control the efficiency of the hospital staff and the quality level of the care provided. During the functionality testing made to the developed nurse call system, the results are encouraging, the reached data transmission reliability is 93%, from the farthest room to the nursing center. The system successfully provides relevant data to the environmental parameters of the hospital, the attention time and the staff response are successfully controlled. In the testing phase, it was also observe that the system is highly scalable, due to the easy integration of new devices to the network, thanks to the use of the ZigBee protocol and to the mesh topology. The implementation of this system is simple because it is wireless and it does not cause damage to the physical structure of the health center.

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A control system of a computer's cursor by recording eye movement using electro-oculographs (EOG) as its principle is presented in this paper. The EOG is the technique that allows detection of the angular displacement of the eye due to corneal retinal potential present in the eyeball. The aim of this paper is to lay a foundation for the development of a complete systems support for both communication and in the mobilization of people with disabilities. The EOC signal processing involves three stages: acquisition, digitization and processing software.Finally, it is possible to control the computer cursor horizontally and vertically along the respective eye movements.