Plantar Footprints Analysis - Case Study (Part 2)

Costea, Mariana; Vasilescu, Ana Maria; Hortal, Guillaume; Mihai, Aura

doi:10.24264/lfj.14.4.4

Cited by 6 publications

(7 citation statements)

References 10 publications

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“…The software mechanically relates pictures in entire periods of walking utilizing this arrangement. Five sizes were studied [27,28] to govern the chief constraints of the footmark; also, pictures were transmitted to scale 1:1. The foot arrangement could stand measured employing this simple technique of dynamic plantar footmark inspection.…”

Section: Methodsmentioning

confidence: 99%

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Categorization of the Indian Males’ Foot Data for Age 18–25 Years Based on Plantar Footprints

Mishra

Singh

Ranjan

et al. 2021

Lecture Notes in Mechanical Engineering

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This study aims out the purpose and outcomes of research performed to evolve a reasoned categorization method of the elderly foot assortment, and it is rooted on framework derived from the plantar footprint. DIERS Pedoscan pressure plate and the corresponding system including DIERS Statico-3D systems were used to obtain plantar footprints from 30 men, aged between 18 and 25 years. Hallux-Valgus (HV) Angle and Chippaux-Simark Index (CSI) have been utilized, and foot assortment has been categorized. Mainly five disciplines were separated into groups, disciplines with Hallux-Varus Foot, Normal Foot, HV Foot, High Arched Foot, Normal foot and Flat Foot, grounded on the acquired result. For a more precise calculation, being able to record it in the identical method, for all disciplines, the authors have evolved a process to assess the mid-plantar footprint middle area for a more precise calculation. Distinctions between different age batches have been controlled by having defined age group and revealing the unavoidable modelling with crafting shoe shapes, protective constituents and footwear accordingly. The superior apt of the shoe on foot in young age can be attained under definite levels and requires reforming of shoe shape. The customization of the product is rationalized by incorporating having biomechanics-based foot data and distinguishes categorization of this, decreased tests numbers and expanding a footwear technological operation effectiveness.

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Section: Methodsmentioning

confidence: 99%

“…2 and in Table 1. [15][16][17][18][19][20] BMI [20][21][22][23][24][25] BMI [25][26][27][28][29][30] BMI [30-…”

Section: Foot Types Based On Chippaux-simark Index (Csi)unclassified

Categorization of the Indian Males’ Foot Data for Age 18–25 Years Based on Plantar Footprints

Mishra

Singh

Ranjan

et al. 2021

Lecture Notes in Mechanical Engineering

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“…The research employed the following methods: biomechanical gait measurement for ground reaction force, the questionnaire-based survey, and observation (Vasilescu et al, 2015;Mihai et al, 2016;Gherman et al, 2016, Sarghie et al, 2013, Costea et al, 2014.…”

Section: Methodsmentioning

confidence: 99%

Analysis of Selected Anthropometric Parameters of Elderly Women

Vasilescu¹,

Deselnicu²,

Pantazi³

et al. 2016

The International Conference on Advanced Materials and Systems

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This study was conducted to establish a set of major causal factors that influence foot pathologies and deformities for the elderly, analyzing variables such as weight and height of subjects. The study included 100 elderly female volunteers weighing between 50 and 112 kg and measuring between 148 and 184 cm in height. The sampling method used was the non-probabilistic one, based on a mixture of Henry's sampling types, using the questionnaire, and testing was conducted using measurement and observation instruments. Subjects participated in biomechanical measurements using AMTI's AccuGait System force platform, performed in Bucharest for a period of three weeks. The results show a strong correlation among the tested variables. Weight proves to be one of the most important causative factors, as there were statistically significant correlations between it and most biomechanical parameters measured. Thus, it can be concluded that as the elderly grow in weight, they undergo significant changes in biomechanical parameters, reflected in foot deformities and pathologies.

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“…Pentru mãsurãtorile în dinamicã, subiecþii au fost rugaþi sã meargã normal pe placã, fiind înregistratã o mãsurãtoare pentru piciorul drept ºi una pentru cel stâng. S-au efectuat câte trei mãsurãtori pentru fiecare subiect pentru a fi obþinute seturi de date fiabile ºi comparabile [16]. Talpa piciorului a fost împãrþitã în 10 zone semnificative (Figura 2a).…”

Section: Subiecþiunclassified

“…For dynamic measurements, the subjects had to walk on pressure plate. Three measurements have been taken in order to obtain reliable and comparable sets of data [16]. The plantar footprint was divided in 10 areas, each of them being differently coloured (Figure 2a).…”

Section: Subjectsmentioning

confidence: 99%

Comparative Analysis of Dynamic Plantar Pressure Distribution on Different Areas of the Foot

Costea¹,

Mihai²

2016

LFJ

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ABSTRACT. The plantar distribution between the foot and the contact surface provides valuable information about the foot's structure and functions. The plantar footprints were taken from 60 young women, aged between 20-30 and their foot typology was established by the authors in a previous study. The average values of the plantar pressures recorded on ten foot segments, in case of the four groups: normal foot, high arched foot, flat foot and Hallux-Valgus foot were analyzed in the present study. By comparing the pressures for the four identified groups, it was demonstrated that there are no significant differences between subjects, the maximum values being registered on the third metatarsal head bone, followed by the second metatarsal head bone and the heel. The findings of a Pearson correlation analysis demonstrate that some pressure areas are directly proportional to others (like for example toe areas with first, second, fourth metatarsal head bones and median area of the foot) and other pressure areas are indirectly proportional to others (like for example lateral heel, with second to fifth toe). An important result of the performed analysis is the negative correlation between toe area and the third and fifth metatarsals head bones. Therefore, when creating the footwear bottom components, the designer should use different materials and structures and design in order to redistribute the plantar pressures according to areas of the foot. KEY WORDS: plantar footprint, gait, pressure areas, footwear ANALIZA COMPARATIVÃ A DISTRIBUÞIEI PRESIUNILOR PLANTARE ÎN DINAMICÃ PE DIFERITE ZONE ALE PICIORULUIREZUMAT. Distribuþia presiunii manifestate între talpa piciorului ºi planul de sprijin furnizeazã informaþii valoroase privind structura ºi funcþiile piciorului. Într-un studiu anterior autorii au preluat amprentele plantare la un numãr de 60 femei, cu vârsta cuprinsã între 20-30 de ani ºi au stabilit tipologia piciorului acestora. În cadrul prezentului studiu au fost comparate valorile medii ale presiunilor pe zece segmente al suprafeþei plantare, pentru fiecare din cele 4 grupe: picior normal, picior scobit, picior plat ºi picior cu Hallux-Valgus, identificate de autori într-un studiu anterior. Comparând presiunile pentru cele 4 grupe de subiecþi s-a observat cã nu existã diferenþe semnificative între aceºtia, presiunea maximã înregistrându-se de fiecare datã pe metatarsianul al treilea, urmat de metatarsianul al doilea ºi cãlcâi. Printr-o analizã statisticã folosind coeficientul de corelaþie Pearson s-a demonstrat cã anumite zone de presiune sunt direct proporþionale cu altele (de exemplu zona degetelor cu primul, al doilea ºi al patrulea metatarsian, precum ºi cu zona medianã a piciorului) ºi alte zone de presiune sunt indirect proporþionale cu altele (de exemplu zona exterioarã a cãlcâiului cu degetul cinci). Un rezultat important al acestei analize statistice este corelaþia negativã identificatã între zona degetelor ºi al treilea ºi al cincilea metatarsian. În consecinþã, în momentul proiectãrii ansamblului inferior...

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Plantar Footprints Analysis - Case Study (Part 2)

Cited by 6 publications

References 10 publications

Categorization of the Indian Males’ Foot Data for Age 18–25 Years Based on Plantar Footprints

Categorization of the Indian Males’ Foot Data for Age 18–25 Years Based on Plantar Footprints

Analysis of Selected Anthropometric Parameters of Elderly Women

Comparative Analysis of Dynamic Plantar Pressure Distribution on Different Areas of the Foot

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