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Gait Analysis

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A Single RGB Camera Based Gait Analysis With A Mobile Tele-Robot For Healthcare.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
With the increasing awareness of high-quality life, there is a growing need for health monitoring devices running robust algorithms in home environment. Health monitoring technologies enable real-time analysis of users' health status, offering long-t...

Gait changes following robot-assisted gait training in children with cerebral palsy.

Physiological research
This study investigated changes of gait pattern induced by a 4-week robot-assisted gait training (RAGT) in twelve ambulatory spastic diparesis children with cerebral palsy (CP) aged 10.4+/-3.2 years old by using computerized gait analysis (CGA). Pre-...

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

Scientific reports
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 mil...

Assessment of a novel deep learning-based marker-less motion capture system for gait study.

Gait & posture
BACKGROUND: Marker-less systems based on digital video cameras and deep learning for gait analysis could have a deep impact in clinical routine. A recently developed system has shown promising results in terms of joint center position but has not bee...

Study on the correlation between early three-dimensional gait analysis and clinical efficacy after robot-assisted total knee arthroplasty.

Chinese journal of traumatology = Zhonghua chuang shang za zhi
PURPOSE: Robot-assisted technology is a forefront of surgical innovation that improves the accuracy of total knee arthroplasty (TKA). But whether the accuracy of surgery can improve the clinical efficacy still needs further research. The purpose of t...

A comprehensive survey on gait analysis: History, parameters, approaches, pose estimation, and future work.

Artificial intelligence in medicine
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 applications in clinical diagnosis, rehabilitation methods, gait biometrics, ...

Generalizability of deep learning models for predicting outdoor irregular walking surfaces.

Journal of biomechanics
Observations from laboratory-based gait analysis are difficult to extrapolate to real-world environments where gait behavior is modulated in response to complex environmental conditions and surface profiles. Inertial measurement units (IMUs) permit r...

A Vision-Based System for Stage Classification of Parkinsonian Gait Using Machine Learning and Synthetic Data.

Sensors (Basel, Switzerland)
Parkinson's disease is characterized by abnormal gait, which worsens as the condition progresses. Although several methods have been able to classify this feature through pose-estimation algorithms and machine-learning classifiers, few studies have b...

Concurrent validity of artificial intelligence-based markerless motion capture for over-ground gait analysis: A study of spatiotemporal parameters.

Journal of biomechanics
Gait analysis is used in research and clinical environments; yet several limitations exist in current methodologies. Markerless systems, utilizing high-speed video and artificial intelligence, eliminate most limitations encountered in marker-, depth-...

SANE (Easy Gait Analysis System): Towards an AI-Assisted Automatic Gait-Analysis.

International journal of environmental research and public health
The gait cycle of humans may be influenced by a range of variables, including neurological, orthopedic, and pathological conditions. Thus, gait analysis has a broad variety of applications, including the diagnosis of neurological disorders, the study...