Comparing Recalibration Strategies for Electroencephalography-Based Decoders of Movement Intention in Neurological Patients with Motor Disability

International Journal of Neural Systems
Eduardo López-LarrazLuis Montesano

Abstract

Motor rehabilitation based on the association of electroencephalographic (EEG) activity and proprioceptive feedback has been demonstrated as a feasible therapy for patients with paralysis. To promote long-lasting motor recovery, these interventions have to be carried out across several weeks or even months. The success of these therapies partly relies on the performance of the system decoding movement intentions, which normally has to be recalibrated to deal with the nonstationarities of the cortical activity. Minimizing the recalibration times is important to reduce the setup preparation and maximize the effective therapy time. To date, a systematic analysis of the effect of recalibration strategies in EEG-driven interfaces for motor rehabilitation has not yet been performed. Data from patients with stroke (4 patients, 8 sessions) and spinal cord injury (SCI) (4 patients, 5 sessions) undergoing two different paradigms (self-paced and cue-guided, respectively) are used to study the performance of the EEG-based classification of motor intentions. Four calibration schemes are compared, considering different combinations of training datasets from previous and/or the validated session. The results show significant differences in cl...Continue Reading

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Citations

Nov 22, 2018·Journal of Neuroengineering and Rehabilitation·Martin SpülerAnder Ramos-Murguialday
Jul 30, 2018·NeuroRehabilitation·E López-LarrazA Ramos-Murguialday
Feb 25, 2021·International Journal of Neural Systems·Camillo PorcaroAndrew P Bagshaw
Jun 29, 2021·International Journal of Neural Systems·Jing JinAndrzej Cichocki
Aug 12, 2021·International Journal of Neural Systems·Hao SunAndrzej Cichocki

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