Litcius/Paper detail

Wearable Brain–Computer Interface Instrumentation for Robot-Based Rehabilitation by Augmented Reality

Pasquale Arpaïa, Luigi Duraccio, Nicola Moccaldi, Silvia Rossi

2020IEEE Transactions on Instrumentation and Measurement95 citationsDOI

Abstract

An instrument for remote control of the robot by wearable brain-computer interface (BCI) is proposed for rehabilitating children with attention-deficit/hyperactivity disorder (ADHD). Augmented reality (AR) glasses generate flickering stimuli, and a single-channel electroencephalographic BCI detects the elicited steady-state visual evoked potentials (SSVEPs). This allows benefiting from the SSVEP robustness by leaving available the view of robot movements. Together with the lack of training, a single channel maximizes the device's wearability, fundamental for the acceptance by ADHD children. Effectively controlling the movements of a robot through a new channel enhances rehabilitation engagement and effectiveness. A case study at an accredited rehabilitation center on ten healthy adult subjects highlighted an average accuracy higher than 83%, with information transfer rate (ITR) up to 39 b/min. Preliminary further tests on four ADHD patients between six- and eight-years old provided highly positive feedback on device acceptance and attentional performance.

Topics & Concepts

Brain–computer interfaceWearable computerRobotRehabilitationComputer scienceFlickerInterface (matter)NeurofeedbackElectroencephalographyRobustness (evolution)Human–computer interactionSimulationPhysical medicine and rehabilitationArtificial intelligencePsychologyMedicineNeuroscienceOperating systemBubbleMaximum bubble pressure methodGeneEmbedded systemChemistryParallel computingBiochemistryEEG and Brain-Computer InterfacesAttention Deficit Hyperactivity DisorderNeuroscience and Neural Engineering