Investigation of intersegmental coordination patterns in human walking.

Area of Science:

• Biomechanics
• Human Locomotion
• Robotics

Background:

• Intersegmental coordination of thigh, shank, and foot is vital for stable and efficient human walking.
• Limb elevation angles during gait follow a planar manifold, described by the planar covariation law.

Purpose of the Study:

• To investigate how walking speed, age, BMI, and height influence the size and orientation of the intersegmental coordination manifold and covariation plane.
• To introduce novel metrics for quantifying intersegmental coordination during human gait.

Main Methods:

• Developed novel metrics: mean radius of manifold, manifold rotation, and plane orientation.
• Analyzed a public dataset of 19-67 year olds walking at speeds from 0.18 to 2.3 m/s.
• Utilized t-tests, ANOVA, and regression analysis to assess metric correlations with speed, gender, and demographics.

Main Results:

• Walking speed strongly correlated with the computed intersegmental coordination metrics.
• Age, BMI, and height showed negligible correlations with these gait metrics.
• No significant gender-based differences were observed; metrics increased with walking speed.

Conclusions:

• Introduced quantifiable metrics and regression models for lower limb intersegmental coordination (ISC) related to walking speed.
• Findings can enhance clinical gait analysis and inform the design of assistive devices like prosthetics and rehabilitation robots.
• The study provides tools to replicate natural gaits and improve biomechanical device functionality.