Motor-Imagery EEG-Based BCIs in Wheelchair Movement and Control: A Systematic Literature Review

Palumbo, Arrigo; Gramigna, Vera; Calabrese, Barbara; Ielpo, Nicola

doi:10.3390/s21186285

Cited by 69 publications

(24 citation statements)

References 111 publications

(213 reference statements)

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“…This hypothesis was supported by topological analyses of the EEG signals which showed that the global asset of brain activities during actual and imaginatively rotated posture of the head were significantly more similar between each other in highs than in lows [12]. Theoretically, together with the highs' greater motor cortex excitability [13], these hypnotizability-related characteristics could make highs more prone than the general population to take advantage from imagery training and brain-computer interface (BCI) interventions [27].…”

Section: Functional Equivalence Between Imagery and Perception/action...mentioning

confidence: 90%

Is hypnotic assessment relevant to neurology?

et al. 2022

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Studies conducted in healthy subjects have clearly shown that different hypnotic susceptibility, which is measured by scales, is associated with different functional equivalence between imagery and perception/action (FE), cortical excitability, and information processing. Of note, physiological differences among individuals with high (highs), medium (mediums), and low hypnotizability scores (lows) have been observed in the ordinary state of consciousness, thus independently from the induction of the hypnotic state, and in the absence of specific suggestions. The potential role of hypnotic assessment and its relevance to neurological diseases have not been fully explored. While current knowledge and therapies allow a better survival rate, there is a constant need to optimize rehabilitation treatments and quality of life. The aim of this paper is to provide an overview of hypnotizability-related features and, specifically, to discuss the hypothesis that the stronger FE, the different mode of information processing, and the greater proneness to control pain and the activity of the immune system observed in individuals with medium-to-high hypnotizability scores have potential applications to neurology. Current evidence of the outcome of treatments based on hypnotic induction and suggestions administration is not consistent, mainly owing to the small sample size in clinical trials and inadequate control groups. We propose that hypnotic assessment may be feasible in clinical routine and give additional cues into the treatment and rehabilitation of neurological diseases.

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Section: Functional Equivalence Between Imagery and Perception/action...mentioning

confidence: 90%

Is hypnotic assessment relevant to neurology?

et al. 2022

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“…In recent years, the Brain-Computer Interface application has been growing rapidly, establishing itself as an emerging technology [ 87 ] tested in several scenarios such as rehabilitation [ 88 ], robotics [ 89 ], precision surgery and speech recognition. However, the usability of many professional brain-sensing equipment remains limited.…”

Section: Ms Hololens 2 Applications In Medical and Healthcare Context...mentioning

confidence: 99%

Microsoft HoloLens 2 in Medical and Healthcare Context: State of the Art and Future Prospects

Palumbo

2022

Sensors

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In the world reference context, although virtual reality, augmented reality and mixed reality have been emerging methodologies for several years, only today technological and scientific advances have made them suitable to revolutionize clinical care and medical contexts through the provision of enhanced functionalities and improved health services. This systematic review provides the state-of-the-art applications of the Microsoft® HoloLens 2 in a medical and healthcare context. Focusing on the potential that this technology has in providing digitally supported clinical care, also but not only in relation to the COVID-19 pandemic, studies that proved the applicability and feasibility of HoloLens 2 in a medical and healthcare scenario were considered. The review presents a thorough examination of the different studies conducted since 2019, focusing on HoloLens 2 medical sub-field applications, device functionalities provided to users, software/platform/framework used, as well as the study validation. The results provided in this paper could highlight the potential and limitations of the HoloLens 2-based innovative solutions and bring focus to emerging research topics, such as telemedicine, remote control and motor rehabilitation.

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“…814–826). EEG and fMRI belong to the non-invasive BCI systems, and intracortical recording and ECoG are the two invasive modalities mainly used in BCI research [ 7 ] (p. 6285). This research focused on the non-invasive EEG-based BCIs that have been realized using a variety of paradigms, including steady-state visual evoked potential (SSVEP), P300, rapid serial visual presentation (RSVP), movement-related potentials (MRPs), motor imagery [ 8 , 9 , 10 ], etc.…”

Section: Introductionmentioning

confidence: 99%

An Electric Wheelchair Manipulating System Using SSVEP-Based BCI System

Chen

Liu

et al. 2022

Biosensors

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Most people with motor disabilities use a joystick to control an electric wheelchair. However, those who suffer from multiple sclerosis or amyotrophic lateral sclerosis may require other methods to control an electric wheelchair. This study implements an electroencephalography (EEG)-based brain–computer interface (BCI) system and a steady-state visual evoked potential (SSVEP) to manipulate an electric wheelchair. While operating the human–machine interface, three types of SSVEP scenarios involving a real-time virtual stimulus are displayed on a monitor or mixed reality (MR) goggles to produce the EEG signals. Canonical correlation analysis (CCA) is used to classify the EEG signals into the corresponding class of command and the information transfer rate (ITR) is used to determine the effect. The experimental results show that the proposed SSVEP stimulus generates the EEG signals because of the high classification accuracy of CCA. This is used to control an electric wheelchair along a specific path. Simultaneous localization and mapping (SLAM) is the mapping method that is available in the robotic operating software (ROS) platform that is used for the wheelchair system for this study.

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Motor-Imagery EEG-Based BCIs in Wheelchair Movement and Control: A Systematic Literature Review

Cited by 69 publications

References 111 publications

Is hypnotic assessment relevant to neurology?

Is hypnotic assessment relevant to neurology?

Microsoft HoloLens 2 in Medical and Healthcare Context: State of the Art and Future Prospects

An Electric Wheelchair Manipulating System Using SSVEP-Based BCI System

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