Role of machine learning in gait analysis: a review

P Khera, N Kumar - Journal of Medical Engineering & Technology, 2020 - Taylor & Francis
Human biomechanics and gait form an integral part of life. The gait analysis involves a large
number of interdependent parameters that were difficult to interpret due to a vast amount of …

Cognitive involvement in balance, gait and dual-tasking in aging: a focused review from a neuroscience of aging perspective

KZH Li, L Bherer, A Mirelman, I Maidan… - Frontiers in …, 2018 - frontiersin.org
A substantial corpus of evidence suggests that the cognitive involvement in postural control
and gait increases with aging. A large portion of such studies were based on dual-task …

Brain–machine interfaces for controlling lower-limb powered robotic systems

Y He, D Eguren, JM Azorín, RG Grossman… - Journal of neural …, 2018 - iopscience.iop.org
Objective. Lower-limb, powered robotics systems such as exoskeletons and orthoses have
emerged as novel robotic interventions to assist or rehabilitate people with walking …

An EEG database for the cognitive assessment of motor imagery during walking with a lower-limb exoskeleton

M Ortiz, L de la Ossa, J Juan, E Iáñez, D Torricelli… - Scientific data, 2023 - nature.com
One important point in the development of a brain-machine Interface (BMI) commanding an
exoskeleton is the assessment of the cognitive engagement of the subject during the motor …

[HTML][HTML] Massive body-brain disconnection consequent to spinal cord injuries drives profound changes in higher-order cognitive and emotional functions: A PRISMA …

V Moro, M Beccherle, M Scandola, SM Aglioti - … & Biobehavioral Reviews, 2023 - Elsevier
Spinal cord injury (SCI) leads to a massive disconnection between the brain and the body
parts below the lesion level representing a unique opportunity to explore how the body …

Sensory integration in human movement: A new brain-machine interface based on gamma band and attention level for controlling a lower-limb exoskeleton

M Ortiz, L Ferrero, E Iáñez, JM Azorín… - … in Bioengineering and …, 2020 - frontiersin.org
Brain-machine interfaces (BMIs) can improve the control of assistance mobility devices
making its use more intuitive and natural. In the case of an exoskeleton, they can also help …

A BMI based on motor imagery and attention for commanding a lower-limb robotic exoskeleton: A case study

L Ferrero, V Quiles, M Ortiz, E Iáñez, JM Azorín - Applied Sciences, 2021 - mdpi.com
Lower-limb robotic exoskeletons are wearable devices that can be beneficial for people with
lower-extremity motor impairment because they can be valuable in rehabilitation or …

[HTML][HTML] Interpretable Cross-Subject EEG-Based Emotion Recognition Using Channel-Wise Features

L **, EY Kim - Sensors, 2020 - mdpi.com
Electroencephalogram (EEG)-based emotion recognition is receiving significant attention in
research on brain-computer interfaces (BCI) and health care. To recognize cross-subject …

[HTML][HTML] A global bibliometric and visualized analysis of gait analysis and artificial intelligence research from 1992 to 2022

T Bao, J Gao, J Wang, Y Chen, F Xu… - Frontiers in Robotics …, 2023 - frontiersin.org
Gait is an important basic function of human beings and an integral part of life. Many mental
and physical abnormalities can cause noticeable differences in a person's gait. Abnormal …

Analysis of the EEG rhythms based on the empirical mode decomposition during motor imagery when using a lower-limb exoskeleton. A case study

M Ortiz, E Iáñez, JL Contreras-Vidal… - Frontiers in …, 2020 - frontiersin.org
The use of brain-machine interfaces in combination with robotic exoskeletons is usually
based on the analysis of the changes in power that some brain rhythms experience during a …