Use of artificial intelligence techniques to assist individuals with physical disabilities

S Pancholi, JP Wachs… - Annual Review of …, 2024 - annualreviews.org
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 …

[HTML][HTML] Experiment protocols for brain-body imaging of locomotion: A systematic review

S Korivand, N Jalili, J Gong - Frontiers in Neuroscience, 2023 - frontiersin.org
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 …

Continuous angular position estimation of human ankle during unconstrained locomotion

R Gupta, IS Dhindsa, R Agarwal - Biomedical Signal Processing and …, 2020 - Elsevier
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 …

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 …

Computational approaches to decode grasping force and velocity level in upper-limb amputee from intraneural peripheral signals

M Cracchiolo, A Panarese, G Valle… - Journal of Neural …, 2021 - iopscience.iop.org
Objective. Recent results have shown the potentials of neural interfaces to provide sensory
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 …

[HTML][HTML] A multi-Kalman filter-based approach for decoding arm kinematics from EMG recordings

H ElMohandes, S Eldawlatly, JMC Audí, R Ruff… - BioMedical Engineering …, 2022 - Springer
Background Remarkable work has been recently introduced to enhance the usage of
Electromyography (EMG) signals in operating prosthetic arms. Despite the rapid …

[HTML][HTML] 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 …

Analyzing the performance of segmented trajectory reconstruction of lower limb movements from EEG signals with combinations of electrodes, gaps, and delays

L Mercado, G Quiroz-Compean, JM Azorín - Biomedical Signal Processing …, 2021 - Elsevier
Objective Brain–machine interfaces have performed continuous trajectory reconstruction of
limb movements from brain signals relying on multiple linear regression. Most reported …

[PDF][PDF] Sensing and adaption for long-term hand rehabilitation

PR Boyd - 2020 - researchportal.port.ac.uk
Following the loss of a limb, the success of the rehabilitative process for prosthesis control is
dictated by the robustness of the prosthesis control scheme, the capabilities of the …