Abstract
This study presents data on the application of two different processing techniques of foot parameters and the comparison of their validity and reliability in adults. Twenty-four healthy participants volunteered took part in the study. Three digital scans were obtained from each participant by one experienced investigator. The foot parameters were: Clarke index, ‘KY’ index of Sztriter-Godunov, heel angle and Wejsflog index. The parameters were identified into two ways: manually using software SolidWorks and by a new computer-aided system. The results of the Spearman's rank correlation suggest a strong positive relationship between parameters obtained from the computer-aided system and manually counted (R> 0.9). The current study suggests that computer-aided system is a practical tool for foot type assessment in adults and could be recommended for both research and clinical applications.
Highlights
The human foot is a complex mechanical structure that eliminates micro-vibrations and prevents them from causing negative changes in joints, internal organs, spine, and nervous system [1, 2]
We propose a new computer-aided system for foot parameters identification which consists of three steps: (1) definition of the input data, (2) running the system to determine the output, (3) comparison the output data obtained in step 2 with manually counted foot parameters
Subjects were assessed to flat-foot, high-arched foot, and normal arch based on Clarke angle, ‘KY’ index of Sztriter-Godunov, Heel angle, and Weysflog index as described before
Summary
The human foot is a complex mechanical structure that eliminates micro-vibrations and prevents them from causing negative changes in joints, internal organs, spine, and nervous system [1, 2]. The scanned foot image was color-mapped by a software to calculate the foot index. In [6] Belyaev and Shubnikov proposed a method for horizontal and vertical foot contours restoration from digital images, and detection physical foot size with sufficient accuracy for shoe fitting applications. An algorithm for automatically calculation the foot parameters is desirable. Another currently recognized problem in image processing is separation in location and time the image scanning and validation. The remote access allows to validate scanned image in different places. With the development of Internet many new applications appeared in the field of remote diagnostics. It requires a proper throughput, strong real-time applications such as mobile
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