Characteristic 3D foot motion patterns during gait of patients with Charcot-Marie-Tooth identified by cluster analysis

Schmidt, Sandy; Böhm, Harald; Dussa, Chakravarthy U.; Bienias, Katarzyna; Fujak, Albert

doi:10.1016/j.gaitpost.2023.05.026

Cited by 3 publications

(1 citation statement)

References 30 publications

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“…These findings are parallel to the results observed in this study, where the deviations in knee kinematics could be attributed specifically to the weakened ankle plantarflexor muscles. The previous researchers expounded on compensatory mechanisms triggered by muscle imbalances around the ankle joint, leading to foot supination [26,27]. This compensation induces internal rotation of the shank relative to the thigh, aiding in enhancing foot progression during the loading response phase.…”

Section: Discussionmentioning

confidence: 99%

Gait Pattern in Charcot-Marie-Tooth Disease Type 1A According to Disease Severity

Park,

Joo,

Choi

et al. 2023

JPM

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The aim of this study was to evaluate the characteristics of gait patterns in Charcot-Marie-Tooth disease type 1A (CMT1A) patients according to disease severity. Twenty-two CMT1A patients were enrolled and classified into two groups, according to the disease severity. The healthy control group consisted of 22 subjects with no gait impairment. Full barefoot three-dimensional gait analysis with temporospatial, kinematic, and kinetic data was performed among the mild and moderate CMT1A group and the control group. Minimal hip abduction, maximal hip extension generation, peak knee flexion moment at stance, ankle dorsiflexion at initial contact, maximal ankle plantarflexion at push-off and maximal ankle rotation moment at stance in the CMT1A group showed a significant difference compared to the control group (p < 0.05). In the moderate group, there were greater maximal hip flexion angles in swing, and smaller dorsiflexion angles at initial contact compared to the control group and mild group. CMT patients had typical gait characteristics and their gait patterns were different according to severity. The analysis of gait patterns in patients with CMT1A will help to understand gait function and provide important information for the treatment of patients with CMT in the future.

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Section: Discussionmentioning

confidence: 99%

Gait Pattern in Charcot-Marie-Tooth Disease Type 1A According to Disease Severity

Park,

Joo,

Choi

et al. 2023

JPM

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Update klinische Ganganalyse

Brand,

Alexander,

Bauer

et al. 2024

Orthopädie

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Kinect-Based Gait Analysis System Design and Concurrent Validity in Persons with Anterolateral Shoulder Pain Syndrome, Results from a Pilot Study

Bernal,

Feipel,

Plaza

2024

Sensors

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As part of an investigation to detect asymmetries in gait patterns in persons with shoulder injuries, the goal of the present study was to design and validate a Kinect-based motion capture system that would enable the extraction of joint kinematics curves during gait and to compare them with the data obtained through a commercial motion capture system. The study included eight male and two female participants, all diagnosed with anterolateral shoulder pain syndrome in their right upper extremity with a minimum 18 months of disorder evolution. The participants had an average age of 31.8 ± 9.8 years, a height of 173 ± 18 cm, and a weight of 81 ± 15 kg. The gait kinematics were sampled simultaneously with the new system and the Clinical 3DMA system. Shoulder, elbow, hip, and knee kinematics were compared between systems for the pathological and non-pathological sides using repeated measures ANOVA and 1D statistical parametric mapping. For most variables, no significant difference was found between systems. Evidence of a significant difference between the newly developed system and the commercial system was found for knee flexion–extension (p < 0.004, between 60 and 80% of the gait cycle), and for shoulder abduction–adduction. The good concurrent validity of the new Kinect-based motion analysis system found in this study opens promising perspectives for clinical motion tracking using an affordable and simple system.

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Characteristic 3D foot motion patterns during gait of patients with Charcot-Marie-Tooth identified by cluster analysis

Cited by 3 publications

References 30 publications

Gait Pattern in Charcot-Marie-Tooth Disease Type 1A According to Disease Severity

Gait Pattern in Charcot-Marie-Tooth Disease Type 1A According to Disease Severity

Update klinische Ganganalyse

Kinect-Based Gait Analysis System Design and Concurrent Validity in Persons with Anterolateral Shoulder Pain Syndrome, Results from a Pilot Study

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