A generalization of the Sugeno integral to aggregate interval-valued data: An application to brain computer interface and social network analysis

Fumanal-Idocin, Javier; Takáč, Zdenko; Horanská, Ľubomíra; Asmus, Tiago da Cruz; Dimuro, Graçaliz Pereira; Vidaurre, Carmen; Fernández, Jesús García; Bustince, Humberto

doi:10.1016/j.fss.2022.10.003

Cited by 6 publications

(1 citation statement)

References 63 publications

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“…Usually, the final classification decision is a weighted mixture of the decoding results of both modalities (Sarasola-Sanz et al, 2017 ; Spüler et al, 2018 ; Tryon et al, 2019 ). And actually, the aggregation of multiple decoding outputs is a usual technique employed in machine learning to fuse information of different decoders and obtain a single decision output (Fumanal-Idocin et al, 2021a , b , 2022 ).…”

Section: Biotargets For Rehabilitative Neural Interfacesmentioning

confidence: 99%

Challenges of neural interfaces for stroke motor rehabilitation

Vidaurre,

Irastorza-Landa,

Sarasola-Sanz

et al. 2023

Front. Hum. Neurosci.

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More than 85% of stroke survivors suffer from different degrees of disability for the rest of their lives. They will require support that can vary from occasional to full time assistance. These conditions are also associated to an enormous economic impact for their families and health care systems. Current rehabilitation treatments have limited efficacy and their long-term effect is controversial. Here we review different challenges related to the design and development of neural interfaces for rehabilitative purposes. We analyze current bibliographic evidence of the effect of neuro-feedback in functional motor rehabilitation of stroke patients. We highlight the potential of these systems to reconnect brain and muscles. We also describe all aspects that should be taken into account to restore motor control. Our aim with this work is to help researchers designing interfaces that demonstrate and validate neuromodulation strategies to enforce a contingent and functional neural linkage between the central and the peripheral nervous system. We thus give clues to design systems that can improve or/and re-activate neuroplastic mechanisms and open a new recovery window for stroke patients.

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