A BMI-based robotic exoskeleton for neurorehabilitation and daily actions: A hybrid control method using EMG and SSVEP
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1
Research Institute of National Rehabilitation Center for Persons with Disabilities, Department of Rehabilitation for Brain Function, Japan
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2
The University of Electro-Communications, Brain Science Inspired Life Support Research Center, Japan
The brain-machine interface (BMI) or brain-computer interface (BCI) is an interface technology that utilizes neurophysiological signals from the brain to control external machines or computers, and we have developed a BMI-based occupational therapy-assist suit (BOTAS) for paralyzed upper extremities. Sensorimotor rhythm, P300 (Komatsu et al., 2010), steady-state visual evoked potential (SSVEP) (Sakurada et al., 2013, in press) and electromyography (EMG) signals (Kawase et al., 2012, 2013) were used to drive the in-house assist suit for reaching and grasping movements. We also developed a wearable BMI-based exoskeleton for neurorehabilitation and daily actions (BRENDA) for reaching and grasping movements with an elbow and fingers (type I) (Kawase and Kansaku, 2014), and for reaching movements with an elbow and a wrist (type II) (Kawase et al., 2014). In this study, we developed a hybrid control method using EMG and SSVEP for the BRENDA (type II).
The BRENDA (type II) had two motors to assist reaching movements with flexion/extension of an elbow and a wrist. The motors were controlled based on signals extracted from EMG and SSVEP. The elbow angle of the BRENDA was controlled using amplitude of EMG signals of biceps and triceps. The wrist flexion angle of the BRENDA was controlled using both amplitude of EMG signals of wrist muscles and SSVEP. Full flexion and extension of the wrist were realized when both EMG signals and SSVEP were detected. Electrodes for EMG measurement were attached to an arm sleeve beneath the BRENDA. A LED panel for eliciting SSVEP with 30Hz green/blue flickering stimuli was attached to a forearm portion of the BRENDA.
In an experiment, the BRENDA worn by a stroke patient (a 64-year-old female) realized reaching movements with flexion of the elbow, which were triggered by EMG signals, and with flexion of the wrist, which were triggered by EMG signals and SSVEP elicited by 30Hz green/blue flickering stimuli.
The new exoskeleton may be useful for practical rehabilitation and support of daily actions based on the users' intention.
The brain-machine interface (BMI) or brain-computer interface (BCI) is an interface technology that utilizes neurophysiological signals from the brain to control external machines or computers, and we have developed a BMI-based occupational therapy-assist suit (BOTAS) for paralyzed upper extremities. Sensorimotor rhythm, P300 (Komatsu et al., 2010), steady-state visual evoked potential (SSVEP) (Sakurada et al., 2013, in press) and electromyography (EMG) signals (Kawase et al., 2012, 2013) were used to drive the in-house assist suit for reaching and grasping movements. We also developed a wearable BMI-based exoskeleton for neurorehabilitation and daily actions (BRENDA) for reaching and grasping movements with an elbow and fingers (type I) (Kawase and Kansaku, 2014), and for reaching movements with an elbow and a wrist (type II) (Kawase et al., 2014). In this study, we developed a hybrid control method using EMG and SSVEP for the BRENDA (type II).
The BRENDA (type II) had two motors to assist reaching movements with flexion/extension of an elbow and a wrist. The motors were controlled based on signals extracted from EMG and SSVEP. The elbow angle of the BRENDA was controlled using amplitude of EMG signals of biceps and triceps. The wrist flexion angle of the BRENDA was controlled using both amplitude of EMG signals of wrist muscles and SSVEP. Full flexion and extension of the wrist were realized when both EMG signals and SSVEP were detected. Electrodes for EMG measurement were attached to an arm sleeve beneath the BRENDA. A LED panel for eliciting SSVEP with 30Hz green/blue flickering stimuli was attached to a forearm portion of the BRENDA.
In an experiment, the BRENDA worn by a stroke patient (a 64-year-old female) realized reaching movements with flexion of the elbow, which were triggered by EMG signals, and with flexion of the wrist, which were triggered by EMG signals and SSVEP elicited by 30Hz green/blue flickering stimuli.
The new exoskeleton may be useful for practical rehabilitation and support of daily actions based on the users' intention.
Conference:
2015 International Workshop on Clinical Brain-Machine Interfaces (CBMI2015), Tokyo, Japan, 13 Mar - 15 Mar, 2015.
Presentation Type:
Poster 4-2
Topic:
Clinical Brain-Machine Interfaces
Citation:
Kansaku
K
(2015). A BMI-based robotic exoskeleton for neurorehabilitation and daily actions: A hybrid control method using EMG and SSVEP.
Conference Abstract:
2015 International Workshop on Clinical Brain-Machine Interfaces (CBMI2015).
doi: 10.3389/conf.fnhum.2015.218.00005
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Received:
23 Apr 2015;
Published Online:
29 Apr 2015.
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Correspondence:
Dr. Kenji Kansaku, Research Institute of National Rehabilitation Center for Persons with Disabilities, Department of Rehabilitation for Brain Function, Tokorozawa, Saitama, Japan, kansakuk@dokkyomed.ac.jp