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Evaluation of a novel real-time adaptive assist-as-needed controller for robot-assisted upper extremity rehabilitation following stroke

Arantes, Ana P ; Bressan, Nadja ; Borges, Ludymila R ; McGibbon, Chris A Tigrini, Andrea

PloS one, 2023-10, Vol.18 (10), p.e0292627-e0292627 [Periódico revisado por pares]

San Francisco: Public Library of Science

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Título:
Evaluation of a novel real-time adaptive assist-as-needed controller for robot-assisted upper extremity rehabilitation following stroke
Autor: Arantes, Ana P ; Bressan, Nadja ; Borges, Ludymila R ; McGibbon, Chris A
Tigrini, Andrea
Assuntos: Adaptive control ; Analysis ; Biology and Life Sciences ; Business metrics ; Care and treatment ; Complications and side effects ; Control algorithms ; Controllers ; Diagnosis ; EEG ; Electroencephalography ; Electromyography ; Engineering and Technology ; Entropy ; Health aspects ; Manipulative therapy ; Medicine and Health Sciences ; Patient outcomes ; Performance measurement ; Physical Sciences ; Rehabilitation ; Research and Analysis Methods ; Robotic surgery ; Robotics ; Robots ; Stroke ; Stroke (Disease) ; Therapy ; Training ; Velocity
É parte de: PloS one, 2023-10, Vol.18 (10), p.e0292627-e0292627
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Competing Interests: The authors have declared that no competing interests exist.
Descrição: Rehabilitation therapy plays an essential role in assisting people with stroke regain arm function. Upper extremity robot therapy offers a number of advantages over manual therapies, but can suffer from slacking behavior, where the user lets the robot guide their movements even when they are capable of doing so by themselves, representing a major barrier to reaching the full potential of robot-assist rehabilitation. This is a pilot clinical study that investigates the use of an electromyography-based adaptive assist-as-needed controller to avoid slacking behavior during robotic rehabilitation for people with stroke. The study involved a convenience sample of five individuals with chronic stroke who underwent a robot therapy program utilizing horizontal arm tasks. The Fugl-Meyer assessment (FM) was used to document motor impairment status at baseline. Velocity, time, and position were quantified as performance parameters during the training. Arm and shoulder surface electromyography (EMG) and electroencephalography (EEG) were used to assess the controller's performance. The cross-sectional results showed strong second-order relationships between FM score and outcome measures, where performance metrics (path length and accuracy) were sensitive to change in participants with lower functional status. In comparison, speed, EMG and EEG metrics were more sensitive to change in participants with higher functional status. EEG signal amplitude increased when the robot suggested that the robot was inducing a challenge during the training tasks. This study highlights the importance of multi-sensor integration to monitor and improve upper-extremity robotic therapy.
Editor: San Francisco: Public Library of Science
Idioma: Inglês

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Evaluation of a novel real-time adaptive assist-as-needed controller for robot-assisted upper extremity rehabilitation following stroke

Arantes, Ana P ; Bressan, Nadja ; Borges, Ludymila R ; McGibbon, Chris A Tigrini, Andrea

San Francisco: Public Library of Science

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