Transferring sensor-based assessments to clinical practice: the case of muscle synergies
Sensor-based assessments in medical practice and rehabilitation include the measurement
of physiological signals such as EEG, EMG, ECG, heart rate, and NIRS, and the recording of …
of physiological signals such as EEG, EMG, ECG, heart rate, and NIRS, and the recording of …
Myoelectric model reference adaptive control with adaptive kalman filter for a soft elbow exoskeleton
Rehabilitation and assistance exoskeletons have been widely studied because they allow to
provide more effective, intensive, and adaptive therapies; in addition, they can be used to …
provide more effective, intensive, and adaptive therapies; in addition, they can be used to …
A Proposal of Bioinspired Soft Active Hand Prosthesis
Soft robotics have broken the rigid wall of interaction between humans and robots due to
their own definition and manufacturing principles, allowing robotic systems to adapt to …
their own definition and manufacturing principles, allowing robotic systems to adapt to …
[HTML][HTML] EMG feature extraction and muscle selection for continuous upper limb movement regression
Achieving a versatile control of exoskeletons or prostheses requires accurate, robust and
fast predictions of upcoming human movements. Electromyographic (EMG) signals are …
fast predictions of upcoming human movements. Electromyographic (EMG) signals are …
How Deep Learning and Neural Networks can Improve Prosthetics and Exoskeletons: A Review of State-of-the-Art Methods and Challenges
T Triwiyanto, W Caesarendra, AA Ahmed… - Journal of Electronics …, 2023 - jeeemi.org
Deep learning and neural networks are powerful computational methods that have been
widely applied in various fields, such as healthcare and robotics. In this paper, we review …
widely applied in various fields, such as healthcare and robotics. In this paper, we review …
A Serious Game for the Assessment of Visuomotor Adaptation Capabilities during Locomotion Tasks Employing an Embodied Avatar in Virtual Reality
The study of visuomotor adaptation (VMA) capabilities has been encompassed in various
experimental protocols aimed at investigating human motor control strategies and/or …
experimental protocols aimed at investigating human motor control strategies and/or …
How many muscles? Optimal muscles set search for optimizing myocontrol performance
In myo-control, for computational and setup constraints, the measurement of a high number
of muscles is not always possible: the choice of the muscle set to use in a myo-control …
of muscles is not always possible: the choice of the muscle set to use in a myo-control …
Muscle-Synergy for Human-Robot Control, Wearable Devices and Computer Animation: A Survey
MF Mohd, SK Ali, PS Sulaiman… - Journal of Advanced …, 2024 - semarakilmu.com.my
Known studies in neurosciences have discovered that locomotion or motor tasks in humans
involve the central nervous system (CNS) to manage activation signals for several groups of …
involve the central nervous system (CNS) to manage activation signals for several groups of …
EMG-to-torque models for exoskeleton assistance: a framework for the evaluation of in situ calibration
In the field of robotic exoskeleton control, it is critical to accurately predict the intention of the
user. While surface electromyography (EMG) holds the potential for such precision, current …
user. While surface electromyography (EMG) holds the potential for such precision, current …
On the Robustness of Muscle Synergies in the Lower Extremity for Human-Exoskeletons Interaction
Y Chen, B Dong, W Chen, Y Wang, R Liu - Procedia Computer Science, 2023 - Elsevier
Accurately recognizing the user's expected action and converting it into a control signal is
critical to the effectiveness of exoskeleton control. Inspired by the natural human movement …
critical to the effectiveness of exoskeleton control. Inspired by the natural human movement …