EEG-Based Brain–Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21st Century

Lazarou, Ioulietta; Nikolopoulos, Spiros; Petrantonakis, Panagiotis C.; Kompatsiaris, Ioannis; Tsolaki, Magda

doi:10.3389/fnhum.2018.00014

Cited by 262 publications

(164 citation statements)

References 124 publications

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“…Brain-computer interface (BCI) systems offer a new direct communication channel between the brain and the outside world for patients with severe neuromuscular disease, such as amyotrophic lateral sclerosis or progressive muscular dystrophy, who have normal cognitive function (Carelli et al, 2017;Lazarou, Nikolopoulos, Petrantonakis, Kompatsiaris, & Tsolaki, 2018;Wolpaw, Birbaumer, McFarland, Pfurtscheller, & Vaughan, 2002). BCI systems usually translate the intentions of a user into computer commands by noninvasively recording electroencephalography (EEG) signals on the head surface (Allison, Wolpaw, & Wolpaw, 2007;Daly & Huggins, 2015;Monge-Pereira et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Happy emotion cognition of bimodal audiovisual stimuli optimizes the performance of the P300 speller

Gao

et al. 2019

Brain and Behavior

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Objective Prior studies of emotional cognition have found that emotion‐based bimodal face and voice stimuli can elicit larger event‐related potential (ERP) amplitudes and enhance neural responses compared with visual‐only emotional face stimuli. Recent studies on brain–computer interface have shown that emotional face stimuli have significantly improved the performance of the traditional P300 speller system, but its performance needs to be further improved for practical applications. Therefore, we herein propose a novel audiovisual P300 speller based on bimodal emotional cognition to further improve the performance of the P300 system. Methods The audiovisual P300 speller we proposed is based on happy emotions, with visual and auditory stimuli that consist of several pairs of smiling faces and audible chuckles (E‐AV spelling paradigm) of different ages and sexes. The control paradigm was the visual‐only emotional face P300 speller (E‐V spelling paradigm). Results We compared the ERP amplitudes, accuracy, and raw bit rate between the E‐AV and E‐V spelling paradigms. The target stimuli elicited significantly increased P300 amplitudes (p < .05) and P600 amplitudes (p < .05) in the E‐AV spelling paradigm compared with those in the E‐V paradigm. The E‐AV spelling paradigm also significantly improved the spelling accuracy and the raw bit rate compared with those in the E‐V paradigm at one superposition (p < .05) and at two superpositions (p < .05). Significance The proposed emotion‐based audiovisual spelling paradigm not only significantly improves the performance of the P300 speller, but also provides a basis for the development of various bimodal P300 speller systems, which is a step forward in the clinical application of brain–computer interfaces.

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Section: Introductionmentioning

confidence: 99%

Happy emotion cognition of bimodal audiovisual stimuli optimizes the performance of the P300 speller

Gao

et al. 2019

Brain and Behavior

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“…The feasibility of inducing neurological recovery in paraplegic patients by long term training with a BCI-based gait protocol was shown in [5]. In addition, BCI-based control of virtual object [6], robotic arm [7][8][9], robotic prosthetic [10,11], wheelchair [12], and various rehabilitation devices [13][14][15][16] were also reported in previous research.…”

Section: Introductionmentioning

confidence: 81%

Motor Imagery Based Continuous Teleoperation Robot Control with Tactile Feedback

Bao-guo

et al. 2020

Electronics

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Brain computer interface (BCI) adopts human brain signals to control external devices directly without using normal neural pathway. Recent study has explored many applications, such as controlling a teleoperation robot by electroencephalography (EEG) signals. However, utilizing the motor imagery EEG-based BCI to perform teleoperation for reach and grasp task still has many difficulties, especially in continuous multidimensional control of robot and tactile feedback. In this research, a motor imagery EEG-based continuous teleoperation robot control system with tactile feedback was proposed. Firstly, mental imagination of different hand movements was translated into continuous command to control the remote robotic arm to reach the hover area of the target through a wireless local area network (LAN). Then, the robotic arm automatically completed the task of grasping the target. Meanwhile, the tactile information of remote robotic gripper was detected and converted to the feedback command. Finally, the vibrotactile stimulus was supplied to users to improve their telepresence. Experimental results demonstrate the feasibility of using the motor imagery EEG acquired by wireless portable equipment to realize the continuous teleoperation robot control system to finish the reach and grasp task. The average two-dimensional continuous control success rates for online Task 1 and Task 2 of the six subjects were 78.0% ± 6.1% and 66.2% ± 6.0%, respectively. Furthermore, compared with the traditional EEG triggered robot control using the predefined trajectory, the continuous fully two-dimensional control can not only improve the teleoperation robot system’s efficiency but also give the subject a more natural control which is critical to human–machine interaction (HMI). In addition, vibrotactile stimulus can improve the operator’s telepresence and task performance.

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“…Eye movements are controlled by especially developed Web browser (GazeTheWeb), facilitating Web browsing by eyes only [22; 23]. Moreover, wireless bio-signal acquisition system is aimed to help persons with motor disabilities interact with gaming application developed by MAMEM project scientists and play the game Tetris by eyes and mind commands [24].…”

Section: Usage Of Eye-tracking Tools In Telemedicine E-care and Telementioning

confidence: 99%

Eye-tracking introduction considerations in vestibular telerehabilitation in Latvia

Gorbunovs

Timsans

Grada

2019

PEN

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The terms of telemedicine, telerehabilitation, and e-care have come into our everyday lives as the necessity to make medical assistance and care more effective. These terms are not buzzwords. Indeed, new technology, innovative solutions, offered by programming tools, modern sensor equipment, wearable devices and bio-signal data sets, provide an ability to ensure necessary remote support to a person with special needs anytime and anywhere. This assistance may include person's online health monitoring, telerehabilitation and health improvement measures, mobile training, rapid alert button initiation, advisory support, and a set of many other measures supporting patient's care. This paper displays achievements in creation of vestibular telerehabilitation tools and systems, particularly in Latvia, and discuss further necessary developments, including eye-tracking instruments, which would improve existing telerehabilitation systems.

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EEG-Based Brain–Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21st Century

Cited by 262 publications

References 124 publications

Happy emotion cognition of bimodal audiovisual stimuli optimizes the performance of the P300 speller

Happy emotion cognition of bimodal audiovisual stimuli optimizes the performance of the P300 speller

Motor Imagery Based Continuous Teleoperation Robot Control with Tactile Feedback

Eye-tracking introduction considerations in vestibular telerehabilitation in Latvia

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