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Article

Pseudo-Online BMI Based on EEG to Detect the Appearance of Sudden Obstacles during Walking

Brain-Machine Interface Systems Lab, Miguel Hernández University of Elche, Avda. de la Universidad S/N, Ed. Innova, Elche, 03202 Alicante, Spain
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Sensors 2019, 19(24), 5444; https://doi.org/10.3390/s19245444
Received: 30 September 2019 / Revised: 8 November 2019 / Accepted: 5 December 2019 / Published: 10 December 2019
(This article belongs to the Special Issue Assistance Robotics and Biosensors 2019)
The aim of this paper is to describe new methods for detecting the appearance of unexpected obstacles during normal gait from EEG signals, improving the accuracy and reducing the false positive rate obtained in previous studies. This way, an exoskeleton for rehabilitation or assistance of people with motor limitations commanded by a Brain-Machine Interface (BMI) could be stopped in case that an obstacle suddenly appears during walking. The EEG data of nine healthy subjects were collected during their normal gait while an obstacle appearance was simulated by the projection of a laser line in a random pattern. Different approaches were considered for selecting the parameters of the BMI: subsets of electrodes, time windows and classifier probabilities, which were based on a linear discriminant analysis (LDA). The pseudo-online results of the BMI for detecting the appearance of obstacles, with an average percentage of 63.9% of accuracy and 2.6 false positives per minute, showed a significant improvement over previous studies. View Full-Text
Keywords: Brain-Machine Interface (BMI); EEG; obstacle; gait Brain-Machine Interface (BMI); EEG; obstacle; gait
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MDPI and ACS Style

Elvira, M.; Iáñez, E.; Quiles, V.; Ortiz, M.; Azorín, J.M. Pseudo-Online BMI Based on EEG to Detect the Appearance of Sudden Obstacles during Walking. Sensors 2019, 19, 5444. https://doi.org/10.3390/s19245444

AMA Style

Elvira M, Iáñez E, Quiles V, Ortiz M, Azorín JM. Pseudo-Online BMI Based on EEG to Detect the Appearance of Sudden Obstacles during Walking. Sensors. 2019; 19(24):5444. https://doi.org/10.3390/s19245444

Chicago/Turabian Style

Elvira, María, Eduardo Iáñez, Vicente Quiles, Mario Ortiz, and José M. Azorín 2019. "Pseudo-Online BMI Based on EEG to Detect the Appearance of Sudden Obstacles during Walking" Sensors 19, no. 24: 5444. https://doi.org/10.3390/s19245444

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