The non-invasive brain–computer interface (BCI) is being increasingly explored in many fields all over the world. With the development of engineering technology and rehabilitation science, non-invasive BCI is beginning to be applied in neurorehabilitation in diseases such as stroke and other neurological dysfunctions in order to reach a higher clinical efficacy. To make this progress, engineers, rehabilitation physicians, and physiotherapists, etc., are performing lots of studies to develop this application. Our Research Topic focuses on promoting the BCI algorithm, developing an optimal BCI experimental paradigm, and exploring brain plasticity during recovery in stroke patients or those with other nervous system diseases. After being carefully and strictly reviewed, eight articles were eventually accepted. These articles presented new methodologies for non-invasive BCI rehabilitation that allow individuals to control external devices or communicate using brain signals without the need for surgery or implantation. The algorithms are novel and efficient for signal transmitting, and they involve using various techniques to aid the recovery of individuals with neurological disorders or injuries.

Editorial: Exploration of the non-invasive brain-computer interface and neurorehabilitation

Chen S.
Primo
Writing – Review & Editing
;
Caimmi M.
Co-ultimo
Writing – Review & Editing
;
2024

Abstract

The non-invasive brain–computer interface (BCI) is being increasingly explored in many fields all over the world. With the development of engineering technology and rehabilitation science, non-invasive BCI is beginning to be applied in neurorehabilitation in diseases such as stroke and other neurological dysfunctions in order to reach a higher clinical efficacy. To make this progress, engineers, rehabilitation physicians, and physiotherapists, etc., are performing lots of studies to develop this application. Our Research Topic focuses on promoting the BCI algorithm, developing an optimal BCI experimental paradigm, and exploring brain plasticity during recovery in stroke patients or those with other nervous system diseases. After being carefully and strictly reviewed, eight articles were eventually accepted. These articles presented new methodologies for non-invasive BCI rehabilitation that allow individuals to control external devices or communicate using brain signals without the need for surgery or implantation. The algorithms are novel and efficient for signal transmitting, and they involve using various techniques to aid the recovery of individuals with neurological disorders or injuries.
2024
Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifatturiero Avanzato - STIIMA (ex ITIA)
algorithm
brain-computer interface (BCI)
electroencephalogram (EEG)
rehabilitation
stroke
File in questo prodotto:
File Dimensione Formato  
fnins-18-1377665.pdf

accesso aperto

Licenza: Creative commons
Dimensione 76.49 kB
Formato Adobe PDF
76.49 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/517511
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact