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Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb
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Foot kinematics and kinetics data for different static foot posture collected using a multi-segment foot model.

Enrique Sanchis-Sales1, Joaquín L Sancho-Bru2, Alba Roda-Sales2

  • 1Departmental Section of Podiatry, Nursing Department, Universitat de València, 46010, Valencia, Spain. enrique.sanchis-sales@uv.es.

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|November 30, 2024
PubMed
Summary

This dataset provides detailed human walking data for foot joints, including angles and moments, categorized by static foot posture. This research aids in understanding foot and lower limb biomechanics and pathologies.

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Area of Science:

  • Biomechanics
  • Human Movement Analysis
  • Orthopedics

Background:

  • Existing lower limb databases often lack detailed foot joint data beyond the ankle.
  • Static foot posture is recognized as a significant factor in foot and lower limb pathologies.
  • Comprehensive kinematic and kinetic data during walking, stratified by foot posture, is needed.

Purpose of the Study:

  • To present a novel dataset of human foot joint kinematics and kinetics during walking.
  • To classify data based on static foot posture (pronation, supination, normal).
  • To provide a valuable resource for research and clinical applications in foot biomechanics.

Main Methods:

  • Utilized a 3D motion capture system for kinematics and a pressure platform for kinetics.
  • Employed a multi-segment foot model encompassing the ankle, midtarsal, and first metatarsophalangeal joints.
  • Collected data from 70 healthy subjects with varying static foot postures, recording joint angles, moments, and pressures.

Main Results:

  • The dataset includes 350 recordings of right foot joint angles, moments, and contact pressures during the stance phase.
  • Data were collected at 100 Hz, filtered, and resampled to 100 frames.
  • Includes descriptive subject data (age, weight, height, BMI) and foot posture index.

Conclusions:

  • This database offers a unique resource for studying the influence of static foot posture on walking biomechanics.
  • Facilitates advancements in corrective footwear design, insole customization, and surgical planning.
  • Enables better evaluation of interventions aimed at improving foot dynamics and reducing pathologies.