Results 11 to 20 of about 731,298 (398)

Ataxic gait [PDF]

open access: yesClinical Case Reports, 2021
AbstractAtaxia as the main complaint in a young patient prompts to diagnose neurodegenerative diseases. Not all ataxias are irreversible. We present a video of a patient in the clinic with ataxia diagnosed as subacute combined degeneration of the cord.
Shalini Bhaskar   +2 more
openaire   +3 more sources

Feasibility and outcomes of supplemental gait training by robotic and conventional means in acute stroke rehabilitation

open access: yesJournal of NeuroEngineering and Rehabilitation, 2023
Introduction Practicality of implementation and dosing of supplemental gait training in an acute stroke inpatient rehabilitation setting are not well studied but can have positive impact on outcomes.
Mukul Talaty, Alberto Esquenazi
doaj   +1 more source

Surgical quadriceps lengthening can reduce quadriceps spasticity in chronic stroke patients. A case-control study

open access: yesFrontiers in Neurology, 2022
BackgroundMuscle overactivity is one of the positive signs of upper motor neuron lesions. In these patients, the loss of muscle length and extensibility resulting from soft tissue rearrangement has been suggested as a contributing cause of muscle ...
Andrea Merlo   +9 more
doaj   +1 more source

Gait Recognition via Effective Global-Local Feature Representation and Local Temporal Aggregation [PDF]

open access: yesIEEE International Conference on Computer Vision, 2020
Gait recognition is one of the most important biometric technologies and has been applied in many fields. Recent gait recognition frameworks represent each gait frame by descriptors extracted from either global appearances or local regions of humans ...
Beibei Lin, Shunli Zhang, Xin Yu
semanticscholar   +1 more source

GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition [PDF]

open access: yesAAAI Conference on Artificial Intelligence, 2018
As a unique biometric feature that can be recognized at a distance, gait has broad applications in crime prevention, forensic identification and social security.
Hanqing Chao   +3 more
semanticscholar   +1 more source

Present and future of gait assessment in clinical practice: Towards the application of novel trends and technologies

open access: yesFrontiers in Medical Technology, 2022
Background Despite being available for more than three decades, quantitative gait analysis remains largely associated with research institutions and not well leveraged in clinical settings.
A. Hulleck   +4 more
semanticscholar   +1 more source

Explaining the differences of gait patterns between high and low-mileage runners with machine learning

open access: yesScientific Reports, 2022
Running gait patterns have implications for revealing the causes of injuries between higher-mileage runners and low-mileage runners. However, there is limited research on the possible relationships between running gait patterns and weekly running ...
Datao Xu   +5 more
semanticscholar   +1 more source

Instrumenting gait with an accelerometer: A system and algorithm examination [PDF]

open access: yes, 2015
Gait is an important clinical assessment tool since changes in gait may reflect changes in general health. Measurement of gait is a complex process which has been restricted to the laboratory until relatively recently.
Barry, Gillian   +4 more
core   +4 more sources

Three-Dimensional Gait Analysis in Children Undergoing Gastrocsoleus Lengthening for Equinus Secondary to Cerebral Palsy

open access: yesMedicina, 2021
Background and Objectives: Equinus is the most common deformity in children with cerebral palsy, and surgical lengthening of the gastrocsoleus muscle-tendon unit is the most commonly performed operation for children with cerebral palsy.
Norine Ma   +5 more
doaj   +1 more source

Deep Gait Recognition: A Survey [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Gait recognition is an appealing biometric modality which aims to identify individuals based on the way they walk. Deep learning has reshaped the research landscape in this area since 2015 through the ability to automatically learn discriminative ...
Alireza Sepas-Moghaddam, A. Etemad
semanticscholar   +1 more source

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