2021
DOI: 10.3390/s21041144
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Gauging Gait Disorders with a Method Inspired by Motor Control Theories: A Pilot Study in Friedreich’s Ataxia

Abstract: To date, it has been challenging for clinicians and researchers alike to use the multiple outcome measures available to create a meaningful clinical picture and perform effective longitudinal follow-up. It has been found that instrumented gait analysis can provide information associated with a patient’s performance and help to remedy the shortcomings of the currently available outcome measures. The goal of this methodological article is to set the background and justify a new outcome measure inspired by the mo… Show more

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Cited by 5 publications
(4 citation statements)
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“…In order to make the athlete gait feature contour segmentation network more accurate in the output results and more stable in multiscale athlete gait feature contour segmentation, it is necessary to carry out relevant design in the backbone network for feature extraction. At the same time, in order to complete the instance segmentation task of human contour [9], the human body detection frame and athlete's gait feature contour segmentation networks must both be produced at the same time by the athlete's gait feature contour segmentation network. As a result, we must consider both the function of human body detection and the athlete's gait feature contour segmentation while developing and creating the network.…”
Section: Athlete Gait Feature Acquisition Based On Multisourcementioning
confidence: 99%
“…In order to make the athlete gait feature contour segmentation network more accurate in the output results and more stable in multiscale athlete gait feature contour segmentation, it is necessary to carry out relevant design in the backbone network for feature extraction. At the same time, in order to complete the instance segmentation task of human contour [9], the human body detection frame and athlete's gait feature contour segmentation networks must both be produced at the same time by the athlete's gait feature contour segmentation network. As a result, we must consider both the function of human body detection and the athlete's gait feature contour segmentation while developing and creating the network.…”
Section: Athlete Gait Feature Acquisition Based On Multisourcementioning
confidence: 99%
“…The eGVI differentiates low and high gait variability. For the eGVI, a score closest to 100 is better [12] . The FAP is reflective of the organization of the gait pattern and the eGVI of gait variability [12] .…”
Section: Methodsmentioning
confidence: 99%
“…Approximately 70% of neurological hospitalized patients have abnormal gait activity, Alsaif et al [2], suggesting that the gait based evaluation method [3] can be used to make an earlier identification of neurological disease [4]. The primary goal of this study is to use gait analysis to diagnose ataxic neurologicaldisorder [5]. Developing a gait based method capable of automated identification and monitoring of neurological conditions improves the effectiveness of the treatment, facilitates treatment strategies, and helps to ease the burden on the healthcare-management system [6].…”
Section: Introductionmentioning
confidence: 99%