Use of artificial intelligence techniques to assist individuals with physical disabilities
Assistive technologies (AT) enable people with disabilities to perform activities of daily living
more independently, have greater access to community and healthcare services, and be …
more independently, have greater access to community and healthcare services, and be …
Experiment protocols for brain-body imaging of locomotion: A systematic review
Introduction Human locomotion is affected by several factors, such as growth and aging,
health conditions, and physical activity levels for maintaining overall health and well-being …
health conditions, and physical activity levels for maintaining overall health and well-being …
Continuous angular position estimation of human ankle during unconstrained locomotion
Objective Active lower limb prostheses required an efficient user interface and robust control
structure for its seamless operation. A nonlinear autoregressive model has been proposed …
structure for its seamless operation. A nonlinear autoregressive model has been proposed …
Decoding the torque of lower limb joints from EEG recordings of pre-gait movements using a machine learning scheme
L Mercado, L Alvarado, G Quiroz-Compean… - Neurocomputing, 2021 - Elsevier
Brain-machine interfaces (BMIs) are useful tools for controlling assistive devices. One
current approach in this field is continuous trajectory reconstruction (CTR), which decodes …
current approach in this field is continuous trajectory reconstruction (CTR), which decodes …
Computational approaches to decode gras** force and velocity level in upper-limb amputee from intraneural peripheral signals
Objective. Recent results have shown the potentials of neural interfaces to provide sensory
feedback to subjects with limb amputation increasing prosthesis usability. However, their …
feedback to subjects with limb amputation increasing prosthesis usability. However, their …
Prediction of EMG activation profiles from gait kinematics and kinetics during multiple terrains
EV Zabre-Gonzalez, D Amieva-Alvarado… - 2021 43rd Annual …, 2021 - ieeexplore.ieee.org
Continuous myoelectric prediction of intended limb dynamics has the ability to provide
transparent control of a prosthesis by the user. However, the impact on these models of …
transparent control of a prosthesis by the user. However, the impact on these models of …
A multi-Kalman filter-based approach for decoding arm kinematics from EMG recordings
Background Remarkable work has been recently introduced to enhance the usage of
Electromyography (EMG) signals in operating prosthetic arms. Despite the rapid …
Electromyography (EMG) signals in operating prosthetic arms. Despite the rapid …
EEG-based EMG estimation of shoulder joint for the power augmentation system of upper limbs
H Liang, Y Yu, M Mochida, C Liu, N Ueda, P Li, C Zhu - Symmetry, 2020 - mdpi.com
Brain–Machine Interfaces (BMIs) have attracted much attention in recent decades, mainly for
their applications involving severely disabled people. Recently, research has been directed …
their applications involving severely disabled people. Recently, research has been directed …
[PDF][PDF] Predicting EMG envelopes of gras** movements from EEG recordings using unscented kalman filtering
A Sburlea, N Butturini… - Annual Meeting of the …, 2021 - scholar.archive.org
Electromyographic (EMG) control of prosthetics is well established both in research and
clinical settings. However, it remains unclear how much of the EMG information can be …
clinical settings. However, it remains unclear how much of the EMG information can be …
Analyzing the performance of segmented trajectory reconstruction of lower limb movements from EEG signals with combinations of electrodes, gaps, and delays
Objective Brain–machine interfaces have performed continuous trajectory reconstruction of
limb movements from brain signals relying on multiple linear regression. Most reported …
limb movements from brain signals relying on multiple linear regression. Most reported …