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 …
Noninvasive neural interfacing with wearable muscle sensors: Combining convolutive blind source separation methods and deep learning techniques for neural …
Neural interfacing is essential for advancing our fundamental understanding of movement
neurophysiology and for develo** human-machine interaction systems. This can be …
neurophysiology and for develo** human-machine interaction systems. This can be …
Deep learning for processing electromyographic signals: A taxonomy-based survey
Deep Learning (DL) has been recently employed to build smart systems that perform
incredibly well in a wide range of tasks, such as image recognition, machine translation, and …
incredibly well in a wide range of tasks, such as image recognition, machine translation, and …
Evaluation of methods for the extraction of spatial muscle synergies
Muscle synergies have been largely used in many application fields, including motor control
studies, prosthesis control, movement classification, rehabilitation, and clinical studies. Due …
studies, prosthesis control, movement classification, rehabilitation, and clinical studies. Due …
Dissecting muscle synergies in the task space
The muscle synergy is a guiding concept in motor control research that relies on the general
notion of muscles 'working together'towards task performance. However, although the …
notion of muscles 'working together'towards task performance. However, although the …
[HTML][HTML] Cardiovr-retone—robotic exoskeleton for upper limb rehabilitation following open heart surgery: Design, modelling, and control
Following cardiac surgery, patients experience difficulties with the rehabilitation process,
often finding it difficult, and therefore lack the motivation for rehabilitation activities. As the …
often finding it difficult, and therefore lack the motivation for rehabilitation activities. As the …
A Cable-Driven Upper Limb Rehabilitation Robot with Muscle-Synergy-Based Myoelectric Controller
Surface electromyography (sEMG) signal has been used in upper limb rehabilitation robots
(ULRR). However, existing ULRR based on myoelectric controllers suffered from limited …
(ULRR). However, existing ULRR based on myoelectric controllers suffered from limited …
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 …
Continuous Prediction of Wrist Joint Kinematics Using Surface Electromyography from the Perspective of Muscle Anatomy and Muscle Synergy Feature Extraction
Post-stroke upper limb dysfunction severely impacts patients' daily life quality. Utilizing
sEMG signals to predict patients' motion intentions enables more effective rehabilitation by …
sEMG signals to predict patients' motion intentions enables more effective rehabilitation by …
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 …