Now showing items 1-3 of 3

  • Control of an ambulatory exoskeleton with a brain–machine interface for spinal cord injury gait rehabilitation 

    López Larraz, Eduardo; Trincado Alonso, Fernando; Rajasekaran, Vijaykumar; Pérez Nombela, Soraya; Ama, Antonio J. del; Aranda López, Juan; Minguez, Javier; Gil Agudo, Angel; Montesano Del Campo, Luis (2016-08-03)
    Article
    Open Access
    The closed-loop control of rehabilitative technologies by neural commands has shown a great potential to improve motor recovery in patients suffering from paralysis. Brain–machine interfaces (BMI) can be used as a natural ...
  • Differentiating resting brain states using ordinal symbolic analysis 

    Quintero Quiroz, Carlos Alberto; Montesano Del Campo, Luis; Pons Rivero, Antonio Javier; Torrent Serra, Maria del Carmen; García Ojalvo, Jordi; Masoller Alonso, Cristina (Institute of Physics (IOP), 2018-10-08)
    Article
    Restricted access - publisher's policy
    Symbolic methods of analysis are valuable tools for investigating complex time-dependent signals. In particular, the ordinal method defines sequences of symbols according to the ordering in which values appear in a time ...
  • Volition-adaptive control for gait training using wearable exoskeleton: preliminary tests with incomplete spinal cord injury individuals 

    Rajasekaran, Vijaykumar; López Larraz, Eduardo; Trincado Alonso, Fernando; Aranda López, Juan; Montesano Del Campo, Luis; Ama, Antonio J. del; Pons Rovira, Jose Luis (2018-01-03)
    Article
    Open Access
    Background Gait training for individuals with neurological disorders is challenging in providing the suitable assistance and more adaptive behaviour towards user needs. The user specific adaptation can be defined based on ...