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Arm

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Exploring Kinematics Contribution to the Arm Stiffness Modulation During Overground Physical Human-Robot Interaction.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
This work studied the effect of arm kinematics on human arm stiffness modulation during overground physical human-robot interaction (pHRI). Previously, using a pHRI robot OPHRIE, it was shown that humans decreased their arm stiffness to enhance sensi...

Enhancing Myoelectric Prosthetic Control: Deep Learning Strategies for Continuous Arm Kinematics Estimation and Cross-Subject Model Transferability from EMG Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Over the last decade, myoelectric prosthesis control has witnessed considerable advancements, yet there remain significant challenges. Two key constraints have been the limited range of movements and the lack of simultaneous control capabilities. Thi...

Spike Neural Network of Motor Cortex Model for Arm Reaching Control.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Motor cortex modeling is crucial for understanding movement planning and execution. While interconnected recurrent neural networks have successfully described the dynamics of neural population activity, most existing methods utilize continuous signal...

Telerehabilitation using a 2-D planar arm rehabilitation robot for hemiparetic stroke: a feasibility study of clinic-to-home exergaming therapy.

Journal of neuroengineering and rehabilitation
BACKGROUND: We evaluated the feasibility, safety, and efficacy of a 2D-planar robot for minimally supervised home-based upper-limb therapy for post-stroke hemiparesis.

Performance investigation of MVMD-MSI algorithm in frequency recognition for SSVEP-based brain-computer interface and its application in robotic arm control.

Medical & biological engineering & computing
This study focuses on improving the performance of steady-state visual evoked potential (SSVEP) in brain-computer interfaces (BCIs) for robotic control systems. The challenge lies in effectively reducing the impact of artifacts on raw data to enhance...

Accuracy deficits during robotic time-constrained reaching are related to altered prefrontal cortex activity in children with cerebral palsy.

Journal of neuroengineering and rehabilitation
BACKGROUND: The prefrontal cortex (PFC) is an important node for action planning in the frontoparietal reaching network but its role in reaching in children with cerebral palsy (CP) is unexplored. This case-control study combines a robotic task with ...

Human-in-the-Loop Myoelectric Pattern Recognition Control of an Arm-Support Robot to Improve Reaching in Stroke Survivors.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
The objective of this study was to assess the feasibility and efficacy of using real-time human-in-the-loop pattern recognition-based myoelectric control to control vertical support force or vertical position to improve reach in individuals with chro...

A novel trajectory learning method for robotic arms based on Gaussian Mixture Model and k-value selection algorithm.

PloS one
In the field of robotic arm trajectory imitation learning, Gaussian Mixture Models are widely used for their ability to capture the characteristics of complex trajectories. However, one major challenge in utilizing these models lies in the initializa...

Wearable robot provides lumbar and arm support.

Science robotics
Exosuit with two-stage mechanism transmits force from a single motor to multiple muscle groups during manual handling tasks.

How Can Robotic Devices Help Clinicians Determine the Treatment Dose for Post-Stroke Arm Paresis?

Sensors (Basel, Switzerland)
Upper limb training dose after stroke is usually quantified by time and repetitions. This study analyzed upper limb motor training dose in stroke participants (N = 36) using a more comprehensive approach. Participants, classified by initial motor sev...