A comprehensive survey on gait analysis: History, parameters, approaches, pose estimation, and future work
Human gait is a periodic motion of body segments—the analysis of motion and related
studies is termed gait analysis. Gait Analysis has gained much popularity because of its …
studies is termed gait analysis. Gait Analysis has gained much popularity because of its …
A survey of human gait-based artificial intelligence applications
EJ Harris, IH Khoo, E Demircan - Frontiers in Robotics and AI, 2022 - frontiersin.org
We performed an electronic database search of published works from 2012 to mid-2021 that
focus on human gait studies and apply machine learning techniques. We identified six key …
focus on human gait studies and apply machine learning techniques. We identified six key …
Multiple sclerosis diagnosis using machine learning and deep learning: challenges and opportunities
Multiple Sclerosis (MS) is a disease that impacts the central nervous system (CNS), which
can lead to brain, spinal cord, and optic nerve problems. A total of 2.8 million are estimated …
can lead to brain, spinal cord, and optic nerve problems. A total of 2.8 million are estimated …
A vision-based framework for predicting multiple sclerosis and Parkinson's disease gait dysfunctions—A deep learning approach
This study examined the effectiveness of av ision-based framework for m ultiple s clerosis
(MS) and Parkinson's disease (PD) gait dysfunction prediction. We collected gait video data …
(MS) and Parkinson's disease (PD) gait dysfunction prediction. We collected gait video data …
Artificial intelligence in the diagnosis of multiple sclerosis: a systematic review
F Nabizadeh, S Masrouri, E Ramezannezhad… - Multiple sclerosis and …, 2022 - Elsevier
Abstract Background: In recent years Artificial intelligence (AI) techniques are rapidly
evolving into clinical practices such as diagnosis and prognosis processes, assess …
evolving into clinical practices such as diagnosis and prognosis processes, assess …
Diagnostic performance of artificial intelligence in multiple sclerosis: a systematic review and meta-analysis
F Nabizadeh, E Ramezannezhad, A Kargar… - Neurological …, 2023 - Springer
Background The expansion of the availability of advanced imaging methods needs more
time, expertise, and resources which is in contrast to the primary goal of the imaging …
time, expertise, and resources which is in contrast to the primary goal of the imaging …
Improved cortical activity and reduced gait asymmetry during poststroke self-paced walking rehabilitation
Background For patients with gait impairment due to neurological disorders, body weight-
supported treadmill training (BWSTT) has been widely used for gait rehabilitation. On a …
supported treadmill training (BWSTT) has been widely used for gait rehabilitation. On a …
Noncontact extraction of biomechanical parameters in gait analysis using a multi-input and multi-output radar sensor
Gait analysis is one of the most basic methods for assessing a patient's biopsychological
status. Doctors can distinguish people with mental and neurological disorders by monitoring …
status. Doctors can distinguish people with mental and neurological disorders by monitoring …
Deep learning for multiple sclerosis differentiation using multi-stride dynamics in gait
Objective: Multiple sclerosis (MS) is a chronic neurological condition of the central nervous
system leading to various physical, mental and psychiatric complexities. Mobility limitations …
system leading to various physical, mental and psychiatric complexities. Mobility limitations …
A deep learning approach for grading of motor impairment severity in Parkinson's disease
Objective and quantitative monitoring of movement impairments is crucial for detecting
progression in neurological conditions such as Parkinson's disease (PD). This study …
progression in neurological conditions such as Parkinson's disease (PD). This study …