Abstract
The ability of walking brings us a great freedom in our daily life. However, there is a huge number of people who have this ability diminished or are not even able to walk due to motor disabilities. This paper presents a method to detect the voluntary initiation and stop of the gait cycle using the ERD phenomenon. The system developed obtains a good accuracy in the detection of the rest and walking state (70.5 % and 75.0 %, respectively). Moreover, the average detection of the onset and ending instants of the gait is detected with a 65.2 % of accuracy. Taking into account the number of intentions of initiation and stop of the gait, the system reaches a good True Positive Rate (around 65%) but obtaining a still improvable False Positive Rate (15.4 FP/min in average). By reducing this factor, this detection system can be used in future works to control a lower limb exoskeleton or a wearable robot. These devices are very useful for rehabilitation and assistance procedures in patients with motor problems affecting their lower limb.
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Hortal, E., Úbeda, A., Iáñez, E., Fernández, E., Azorín, J.M. (2015). Using EEG Signals to Detect the Intention of Walking Initiation and Stop. In: Ferrández Vicente, J., Álvarez-Sánchez, J., de la Paz López, F., Toledo-Moreo, F., Adeli, H. (eds) Artificial Computation in Biology and Medicine. IWINAC 2015. Lecture Notes in Computer Science(), vol 9107. Springer, Cham. https://doi.org/10.1007/978-3-319-18914-7_29
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DOI: https://doi.org/10.1007/978-3-319-18914-7_29
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