title: Detection of intention of pedaling start cycle through EEG signals.
abstract: Recovery from cerebrovascular accident (CVA) is a growing research topic. Exoskeletons are being used for this purpose in combination with a volitional control algorithm. This work studied the intention of pedaling initiation movement, based on previous work, with different types of electrode configuration and different processing time windows. The main characteristic is to find alterations in the mu and beta frequency bands where ERD/ERS is produced. The results show that for the majority of the subjects this event is well detected with 8 or 9 electrodes and using time before and after the movement onset.
authors.forename: Marisol
authors.initials: M
authors.lastname: Rodriguez-Ugarte
authors.forename: Enrique
authors.initials: E
authors.lastname: Hortal
authors.forename: Alvaro
authors.initials: A
authors.lastname: Costa
authors.forename: Eduardo
authors.initials: E
authors.lastname: Ianez
authors.forename: Andres
authors.initials: A
authors.lastname: Ubeda
authors.forename: Jose M
authors.initials: JM
authors.lastname: Azorin
mesh_terms: D000465:Algorithms; D003344:Cortical Synchronization; D004569:Electroencephalography; D033182:Intention; D009068:Movement; D014836:Volition