Brain-Computer Interface application: auditory serial interface to control a two-class motor-imagery-based wheelchair.

BACKGROUND: Certain diseases affect brain areas that control the movements of the patients' body, thereby limiting their autonomy and communication capacity. Research in the field of Brain-Computer Interfaces aims to provide patients with an alternative communication channel not based on muscular activity, but on the processing of brain signals. Through these systems, subjects can control external devices such as spellers to communicate, robotic prostheses to restore limb movements, or domotic systems. The present work focus on the non-muscular control of a robotic wheelchair. METHOD: A proposal to control a wheelchair through a Brain-Computer Interface based on the discrimination of only two mental tasks is presented in this study. The wheelchair displacement is performed with discrete movements. The control signals used are sensorimotor rhythms modulated through a right-hand motor imagery task or mental idle state. The peculiarity of the control system is that it is based on a serial auditory interface that provides the user with four navigation commands. The use of two mental tasks to select commands may facilitate control and reduce error rates compared to other endogenous control systems for wheelchairs. RESULTS: Seventeen subjects initially participated in the study; nine of them completed the three sessions of the proposed protocol. After the first calibration session, seven subjects were discarded due to a low control of their electroencephalographic signals; nine out of ten subjects controlled a virtual wheelchair during the second session; these same nine subjects achieved a medium accuracy level above 0.83 on the real wheelchair control session. CONCLUSION: The results suggest that more extensive training with the proposed control system can be an effective and safe option that will allow the displacement of a wheelchair in a controlled environment for potential users suffering from some types of motor neuron diseases.

[Assessment of stress in childhood: Children's Daily Stress Inventory (Inventario Infantil de Estresores Cotidiano, IIEC)]. / Evaluación del estrés infantil: Inventario Infantil de Estresores Cotidianos (IIEC).

The present study introduces the Children's Daily Stress Inventory (Inventario Infantil de Estresores Cotidianos, IIEC) as a measure that assesses daily stress in primary school children. The inventory was applied to a sample of 1094 primary school students. The final version includes 25 dichotomic items covering the areas of health, school/peers, and family. The score is obtained by adding the total of positive answers. Analyses of items, reliability and several external pieces of evidence of validity based on relations with other variables are presented. The results show adequate psychometric properties for the assessment of daily stress in children.