Results 11 to 20 of about 22,292,420 (367)
Machine Learning Approach to Support the Detection of Parkinson’s Disease in IMU-Based Gait Analysis
Italian National Conference on Sensors, 2022 The aim of this study was to determine which supervised machine learning (ML) algorithm can most accurately classify people with Parkinson’s disease (pwPD) from speed-matched healthy subjects (HS) based on a selected minimum set of IMU-derived gait ...
Dante Trabassi +7 more
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Detection and assessment of Parkinson's disease based on gait analysis: A survey
Frontiers in Aging Neuroscience, 2022 Neurological disorders represent one of the leading causes of disability and mortality in the world. Parkinson's Disease (PD), for example, affecting millions of people worldwide is often manifested as impaired posture and gait.
Yao Guo +4 more
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Sensors, 2022 Manikin carrying is a lifesaving sports technique, in which athletes stroke with one arm and carry a manikin of 60 kg with the other arm as they swim.
Daniel Hon-Ting Tse +2 more
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Sensors, 2021 The present study compared the effect between walking exercise and a newly developed sensor-based gait retraining on the peaks of knee adduction moment (KAM), knee adduction angular impulse (KAAI), knee flexion moment (KFM) and symptoms and functions in ...
Sizhong Wang +9 more
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Engineering Sciences, 2022 Gait analysis, a way of assessing the manner of walking, is considered a significant criterion in diagnosing movement disorder. Various factors contribute to the alterations in gait patterns, of which neurodegenerative related disorders play a major role.
Aishwarya Balakrishnan +3 more
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Frontiers in Neurology, 2021 This cross-sectional study aimed to examine the development of lower limb voluntary strength in 160 ambulatory patients with bilateral spastic cerebral palsy (CP) (106 diplegics/54 quadriplegics) and 86 typically developing (TD) controls, aged 7–16 years.
Nicolaos Darras +7 more
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Human Gait Analysis in Neurodegenerative Diseases: A Review
IEEE journal of biomedical and health informatics, 2021 This paper reviews the recent literature on technologies and methodologies for quantitative human gait analysis in the context of neurodegenerative diseases.
G. Cicirelli +5 more
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Human Gait Analysis Metric for Gait Retraining [PDF]
Applied Bionics and Biomechanics, 2019 The combined gait asymmetry metric (CGAM) provides a method to synthesize human gait motion. The metric is weighted to balance each parameter’s effect by normalizing the data so all parameters are more equally weighted. It is designed to combine spatial, temporal, kinematic, and kinetic gait parameter asymmetries.
Tyagi Ramakrishnan +2 more
openaire +4 more sources
Journal of Exercise Science & Fitness, 2022 Background/Objectives: We performed a meta-analysis of randomized controlled trials (RCTs) assessing the effect of Aquatic High Intensity Interval Training (AHIIT) on cardiometabolic and physical health markers in women. Methods: Systematic search used 7
Manny M.Y. Kwok +3 more
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Italian National Conference on Sensors, 2021 Gait analysis is crucial for the detection and management of various neurological and musculoskeletal disorders. The identification of gait events is valuable for enhancing gait analysis, developing accurate monitoring systems, and evaluating treatments ...
Chariklia Chatzaki +7 more
semanticscholar +1 more source