Patient-Specific Robot-Assisted Stroke Rehabilitation Guided by EEG – A Feasibility Study

Butt, Maryam; Naghdy, Golshah; Naghdy, Fazel; Murray, Geoffrey; Du, Haiping

doi:10.1109/embc44109.2020.9175459

Cited by 6 publications

(4 citation statements)

References 10 publications

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“…We will analyze the effect of the robot-assisted gait-training on the characteristics of these brain potentials. The negative amplitude of the MRCP has been found to be correlated with the level of engagement of the participant in performing the motor task [ 55 ].…”

Section: Materials and Methodsmentioning

confidence: 99%

Experimental Protocol to Assess Neuromuscular Plasticity Induced by an Exoskeleton Training Session

Marco

Rubega

Lennon

et al. 2021

MPs

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Exoskeleton gait rehabilitation is an emerging area of research, with potential applications in the elderly and in people with central nervous system lesions, e.g., stroke, traumatic brain/spinal cord injury. However, adaptability of such technologies to the user is still an unmet goal. Despite important technological advances, these robotic systems still lack the fine tuning necessary to adapt to the physiological modification of the user and are not yet capable of a proper human-machine interaction. Interfaces based on physiological signals, e.g., recorded by electroencephalography (EEG) and/or electromyography (EMG), could contribute to solving this technological challenge. This protocol aims to: (1) quantify neuro-muscular plasticity induced by a single training session with a robotic exoskeleton on post-stroke people and on a group of age and sex-matched controls; (2) test the feasibility of predicting lower limb motor trajectory from physiological signals for future use as control signal for the robot. An active exoskeleton that can be set in full mode (i.e., the robot fully replaces and drives the user motion), adaptive mode (i.e., assistance to the user can be tuned according to his/her needs), and free mode (i.e., the robot completely follows the user movements) will be used. Participants will undergo a preparation session, i.e., EMG sensors and EEG cap placement and inertial sensors attachment to measure, respectively, muscular and cortical activity, and motion. They will then be asked to walk in a 15 m corridor: (i) self-paced without the exoskeleton (pre-training session); (ii) wearing the exoskeleton and walking with the three modes of use; (iii) self-paced without the exoskeleton (post-training session). From this dataset, we will: (1) quantitatively estimate short-term neuroplasticity of brain connectivity in chronic stroke survivors after a single session of gait training; (2) compare muscle activation patterns during exoskeleton-gait between stroke survivors and age and sex-matched controls; and (3) perform a feasibility analysis on the use of physiological signals to decode gait intentions.

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Section: Materials and Methodsmentioning

confidence: 99%

Experimental Protocol to Assess Neuromuscular Plasticity Induced by an Exoskeleton Training Session

Marco

Rubega

Lennon

et al. 2021

MPs

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show abstract

“…In [73], selecting devices that require shorter set-up time and provide more efficient treatment was the sustainable solution to use RAT in specific rehabilitation centers. According to [74], the feasibility in using RAT was the ability of the device to be adaptive and patient specific. The adaptivity can be achieved using different training modes that suit each patient as well as encourages more engagement in the training.…”

Section: Challenges and Future Studiesmentioning

confidence: 99%

A review of upper limb robot assisted therapy techniques and virtual reality applications

Ibrahim

Ammar²,

Shalaby³

2022

IJ-AI

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Impairments in the sensorimotor system negatively impact the ability of individuals to perform daily activities autonomously. Upper limb rehabilitation for stroke survivors and cerebral palsy (CP) children is essential to enhance independence and quality of life. Robot assisted therapy has been a bright solution in the last two decades to promote the recovery process for neurological disorders patients. Nevertheless, defining the optimum intervention of robot assisted therapy (RAT) in different cases is not clear yet. With this aim, the presented study reviewed the current literature on RAT protocols for upper limb impairments and the effects of RAT on recovery outcomes. A literature search was conducted using different search engines, reviews, and studies. This study presents an overview of fourteen robotic devices used in the rehabilitation field and seventeen clinical trials using commercially available devices during the last three years. A discussion about reaching an efficient rehabilitation process based on different aspects such as clinical setting and training modes has been introduced. This review identifies the limitations of RAT to lay the foundation for more effective neuromotor disorders rehabilitation. Finally, using virtual reality (VR) as an assisting feature in RAT improves the whole process of recovering motor functionality.

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“…Despite the high accuracy of behavioural measures [14,33], stroke survivors' bodily paralysis may limit these approaches [16,39,40]. Therefore, research on stroke patients used Brain-Computer Interfaces (BCIs) to capture electroencephalogram (EEG) signals [7,9] as a high-temporal resolution measurement of users' engagement through their brain activation [3,6].…”

Section: Introductionmentioning

confidence: 99%

"Feeling Unseen"

Ziadeh

Ceccato

Prinsen

et al. 2023

Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction

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Adaptive robots have the potential to support the overloaded healthcare system by helping new stroke survivors learn about their conditions. However, current adaptive robots often fail to maintain users' engagement during interactions. This study investigated the impact of an adaptive robot on Social Agency which has been proposed to influence engagement during learning. Twenty-four healthy subjects participated in a study where they learned about stroke symptoms from a robot providing social cues either 1) when their engagement measured by a Brain-Computer Interface (BCI) decreased or 2) at random intervals. While the results confirmed that Social Agency correlated with Engagement, the robot's adaptive behaviour did not increase Social Agency, Engagement, and Information Recall. Using qualitative methods, we propose that adaptive robots need to explicitly acknowledge users to increase Social Agency. CCS CONCEPTS• Human-centered computing → Empirical studies in HCI.

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Patient-Specific Robot-Assisted Stroke Rehabilitation Guided by EEG – A Feasibility Study

Cited by 6 publications

References 10 publications

Experimental Protocol to Assess Neuromuscular Plasticity Induced by an Exoskeleton Training Session

Experimental Protocol to Assess Neuromuscular Plasticity Induced by an Exoskeleton Training Session

A review of upper limb robot assisted therapy techniques and virtual reality applications

"Feeling Unseen"

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