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2 Acta of Bioengineering and Biomechanics

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Kinetic analysis of gait in adults with asymptomatic flatfoot

Tomasiak Edyta, Wychowański Michał, Kaczmarczyk Katarzyna, Gajewski Jan

Acta of Bioengineering and Biomechanics

2022

Vol. 24, no. 1

59--66

The aim of our study was to assess the influence of asymptomatic flatfoot on the kinetic parameters of the lower limb during gait. Methods: Individuals of both sexes were studied: 15 women [age 25 ± 5 years] and 19 men [age 25 ± 4 years] with bilateral asymptomatic flatfoot, as well as 16 women [age 26 ± 4 years] and 14 men [age 24 ± 3 years] with normal feet on both sides. A threedimensional VICON motion analysis system coupled with KISTLER dynamometric platforms was used to perform kinetic gait analysis. Results: Women with flatfoot showed significantly lower maximal relative moments in the ankle in the sagittal plane ( p < 0.05) and significantly lower maximal relative moments in the knee in the sagittal plane in the Terminal Stance ( p < 0.001). In men, a significant difference was found in terms of hip rotation moment in the transverse plane in the Mid Stance ( p < 0.01): men with normal feet showed moments of external rotation, while men with flatfoot generated internal rotational moments. Moreover, men with flatfoot showed significantly lower ( p < 0.01) maximal relative moments in the knee in the transverse plane in the Mid Stance. Conclusions: Women with flatfoot have a weakened lower limb propulsion mechanism, whereas, in men with flatfoot, there is a change in the mechanics of the lower limb in the transverse plane. Our findings cast some doubt on flatfoot as a putative risk factor for stress injuries and degenerative changes in lower-limb structures, and suggest that gender differentiation should be taken into account in the analysis and therapy of flatfoot.

A new classification of hemiplegia gait patterns based on bicluster analysis of joint moments

Pauk J, Minta-Bielecka K.

Acta of Bioengineering and Biomechanics

2016

Vol. 18, no. 4

33--40

Purpose: Hemiplegia is a paralysis on one side of the body resulting from disease or injury to the motor centers of the brain that may lead to difficulty in walking and problems in balance. A new methodology for hemiplegia gait patterns classification based on bicluster analysis, which aims to identify a group of patients with similar gait patterns, and verify if spatial-temporal gait parameters are correlated with the Barthel Index, has been proposed. Methods: Eighteen hemiplegia patients were recruited. Measurements included spatial-temporal gait parameters and joint moments. Gait data were measured using a motion tracking system and two force platforms. Bicluster analysis was used to classify the subjects' gait patterns. The relation between Barthel Index and spatial-temporal gait parameters was determined based on the Spearman correlation. Results: A high correlation between spatial-temporal gait parameters and Barthel Index (r > .5, p < .05) was observed. Well-separated biclusters presenting similarity among the lower limb joints during the gait cycles were obtained from the data. Conclusions: Bicluster analysis can be useful for identifying patients with similar gait patterns. The relation between the gait patterns and the underlying impairments would allow clinicians to target rehabilitation strategies at the patient’s individual needs.