Brain–Computer Interface as a Potential Access Method for Communication in Non-verbal Children with Cerebral Palsy: A State-of-the-Art Review

International audience This article proposes a state-of-the-art on communication support systems that can be used by users with Athetoid Cerebral Palsy. Today, many communication support systems are available on the market and/or presented in the literature.They include (1) virtual keyboards, (2) software using pictograms, (3) speech recognition, and (4) other types of input systems dedicated to physically disabled users (brain-computer interface and physical aids). After the description of these four categories of communication support systems, this article ends with a synthesis in which our view of each category of system in relation to the considered user profile is provided. Cet article propose un état de l'art des systèmes d'aide à la communication utilisables par des utilisateurs de profil Infirme Moteur Cérébral (IMC) athétosique.De nos jours, de nombreuses aides à la communication sont proposées sur le marché et/ou présentées dans la littérature. Ces aides rassemblent (1) les claviers virtuels, (2) les logiciels exploitant des pictogrammes, (3) la reconnaissance vocale et (4) les autres types de systèmes de saisie dédiées aux personnes handicapées physiques (interface cerveau-ordinateur et aides physiques). Après la description successive de ces quatre catégories d’aide, cet article se termine par une synthèse dans laquelle notre point de vue sur chaque catégorie de système relativement au profil visé, est fourni.

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A comparative study: use of a Brain-computer Interface (BCI) device by people with cerebral palsy in interaction with computers

Anais da Academia Brasileira de Ciências ◽

10.1590/0001-3765201520130413 ◽

2015 ◽

Vol 87 (4) ◽

pp. 1929-1937 ◽

Cited By ~ 3

Author(s):

Regina O. Heidrich ◽

Emely Jensen ◽

Francisco Rebelo ◽

Tiago Oliveira

Keyword(s):

Cerebral Palsy ◽

Comparative Study ◽

Case Studies ◽

Brain Computer Interface ◽

Product Evaluation ◽

Computer Interface ◽

Healthy Controls ◽

The Brain

ABSTRACT This article presents a comparative study among people with cerebral palsy and healthy controls, of various ages, using a Brain-computer Interface (BCI) device. The research is qualitative in its approach. Researchers worked with Observational Case Studies. People with cerebral palsy and healthy controls were evaluated in Portugal and in Brazil. The study aimed to develop a study for product evaluation in order to perceive whether people with cerebral palsy could interact with the computer and compare whether their performance is similar to that of healthy controls when using the Brain-computer Interface. Ultimately, it was found that there are no significant differences between people with cerebral palsy in the two countries, as well as between populations without cerebral palsy (healthy controls).

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Signal processing algorithms for motor imagery brain-computer interface: State of the art

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-181309 ◽

2018 ◽

Vol 35 (6) ◽

pp. 6405-6419

Author(s):

Jie Hong ◽

Xiansheng Qin ◽

Jing Li ◽

Junlong Niu ◽

Wenjie Wang

Keyword(s):

Signal Processing ◽

Motor Imagery ◽

State Of The Art ◽

Brain Computer Interface ◽

Interface State ◽

Computer Interface ◽

Signal Processing Algorithms ◽

Processing Algorithms

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Clinical Relevance of State-of-the-Art Analysis of Surface Electromyography in Cerebral Palsy

Frontiers in Neurology ◽

10.3389/fneur.2020.583296 ◽

2020 ◽

Vol 11 ◽

Author(s):

Germana Cappellini ◽

Francesca Sylos-Labini ◽

Carla Assenza ◽

Laura Libernini ◽

Daniela Morelli ◽

...

Keyword(s):

Cerebral Palsy ◽

Neurological Disorders ◽

Surface Electromyography ◽

Clinical Relevance ◽

State Of The Art ◽

Neuromuscular System ◽

Neural Controllers ◽

Children With Cerebral Palsy ◽

Tendon Surgery ◽

Reference Databases

Surface electromyography (sEMG) can be used to assess the integrity of the neuromuscular system and its impairment in neurological disorders. Here we will consider several issues related to the current clinical applications, difficulties and limited usage of sEMG for the assessment and rehabilitation of children with cerebral palsy. The uniqueness of this methodology is that it can determine hyperactivity or inactivity of selected muscles, which cannot be assessed by other methods. In addition, it can assist for intervention or muscle/tendon surgery acts, and it can evaluate integrated functioning of the nervous system based on multi-muscle sEMG recordings and assess motor pool activation. The latter aspect is especially important for understanding impairments of the mechanisms of neural controllers rather than malfunction of individual muscles. Although sEMG study is an important tool in both clinical research and neurorehabilitation, the results of a survey on the clinical relevance of sEMG in a typical department of pediatric rehabilitation highlighted its limited clinical usage. We believe that this is due to limited knowledge of the sEMG and its neuromuscular underpinnings by many physiotherapists, as a result of lack of emphasis on this important methodology in the courses taught in physical therapy schools. The lack of reference databases or benchmarking software for sEMG analysis may also contribute to the limited clinical usage. Despite the existence of educational and technical barriers to a widespread use of, sEMG does provide important tools for planning and assessment of rehabilitation treatments for children with cerebral palsy.

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User’s Emotions and Usability Study of a Brain-Computer Interface Applied to People with Cerebral Palsy

Technologies ◽

10.3390/technologies6010028 ◽

2018 ◽

Vol 6 (1) ◽

pp. 28 ◽

Cited By ~ 2

Author(s):

Alejandro García Ramírez ◽

Jéferson da Silva ◽

Ana Savall ◽

Tiago Catecati ◽

Marcelo Ferreira

Keyword(s):

Cerebral Palsy ◽

Brain Computer Interface ◽

Computer Interface ◽

Usability Study

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A review of the state of the art of feature extraction of electroencephalographic signals

ECORFAN Journal-Ecuador ◽

10.35429/eje.2019.11.6.21.27 ◽

2019 ◽

pp. 21-27

Author(s):

José Jaime Esqueda-Elizondo ◽

Laura Jiménez-Beristáin ◽

Carlos Alberto Chávez-Guzmán ◽

Ricardo Jesús Renato Guerra-Fraustro

Keyword(s):

Feature Extraction ◽

State Of The Art ◽

Brain Computer Interface ◽

The State ◽

Computer Interface ◽

Work Team ◽

Electroencephalographic Signals

We present a review of the state of the art of the techniques and algorithms most used in the selection and detection of characteristics of electroencephalographic signals of people when consciously performing activities. These features are numeric parameters that describe the behavior of the signal and are the basis of patterns. In addition, previous experiences in the acquisition of electroencephalographic signals using the Epoc brain-computer interface manufactured by Emotiv are presented. First, some techniques used to eliminate artifacts (disturbances) present in the signal generated by blinking, strong breathing or other movements that contaminate the signal are presented. Later, the algorithms most frequently used in the processing of electroencephalographic signals are shown for the extraction of characteristics that describe the behavior of these patterns and that can be used to detect and recognize patterns in other signals. Finally, we present the lessons that we have acquired as a work team in the recording of electroencephalographic signals in order to be helpful for beginners.

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