Adaptive neuro-fuzzy inference system model driven by the non-negative matrix factorization-extracted muscle synergy patterns to estimate lower limb joint …
Background and objective For patients with movement disorders, the main clinical focus is
on exercise rehabilitation to help recover lost motor function, which is achieved by relevant …
on exercise rehabilitation to help recover lost motor function, which is achieved by relevant …
Synergy-based neural interface for human gait tracking with deep learning
Neural information decomposed from electromyography (EMG) signals provides a new path
of EMG-based human-machine interface. Instead of the motor unit decomposition-based …
of EMG-based human-machine interface. Instead of the motor unit decomposition-based …
U-Limb: A multi-modal, multi-center database on arm motion control in healthy and post-stroke conditions
Background Shedding light on the neuroscientific mechanisms of human upper limb motor
control, in both healthy and disease conditions (eg, after a stroke), can help to devise …
control, in both healthy and disease conditions (eg, after a stroke), can help to devise …
Hand kinematics characterization while performing activities of daily living through kinematics reduction
NJ Jarque-Bou, M Vergara… - … on Neural Systems …, 2020 - ieeexplore.ieee.org
Improving the understanding of hand kinematics during the performance of activities of daily
living may help improve the control of hand prostheses and hand function assessment. This …
living may help improve the control of hand prostheses and hand function assessment. This …
Toward brain–heart computer interfaces: A study on the classification of upper limb movements using multisystem directional estimates
Objective. Brain–computer interfaces (BCIs) exploit computational features from brain
signals to perform a given task. Despite recent neurophysiology and clinical findings …
signals to perform a given task. Despite recent neurophysiology and clinical findings …
[图书][B] Functional brain-heart interplay
V Catrambone, G Valenza - 2021 - Springer
Would you assess the performance of a soccer player by looking at them playing in the field
completely alone? Surely you would get overall information about their playing skills and …
completely alone? Surely you would get overall information about their playing skills and …
Optimal reconstruction of human motion from scarce multimodal data
Wearable sensing has emerged as a promising solution for enabling unobtrusive and
ergonomic measurements of the human motion. However, the reconstruction performance of …
ergonomic measurements of the human motion. However, the reconstruction performance of …
Looking for synergies in healthy upper limb motion: a focus on the wrist
Recent studies on human upper limb motion highlighted the benefit of dimensionality
reduction techniques to extrapolate informative joint patterns. These techniques can simplify …
reduction techniques to extrapolate informative joint patterns. These techniques can simplify …
Sensor selection with composite features in identifying user-intended poses for human-prosthetic interfaces
A Human-Prosthetic Interface (HPI) serves to estimate and realise the limb pose intended by
the human user, using the information obtained from sensors worn by the user. In recent …
the human user, using the information obtained from sensors worn by the user. In recent …
[HTML][HTML] A Multi-Modal Under-Sensorized Wearable System for Optimal Kinematic and Muscular Tracking of Human Upper Limb Motion
Wearable sensing solutions have emerged as a promising paradigm for monitoring human
musculoskeletal state in an unobtrusive way. To increase the deployability of these systems …
musculoskeletal state in an unobtrusive way. To increase the deployability of these systems …