Gait Index dataset

Citation Author(s):
ABU ILIUS
FAISAL
Department of Electrical and Computer Engineering, McMaster University
Submitted by:
ABU ILIUS FAISAL
Last updated:
Sun, 07/28/2024 - 22:26
DOI:
10.21227/8z92-fb23
Data Format:
Research Article Link:
License:
0
0 ratings - Please login to submit your rating.

Abstract 

This dataset contains gait analysis data from 120 healthy individuals, aimed at assessing and quantifying overall gait quality through a novel gait index. Key gait parameters include walking speed, maximum knee flexion angle, stride length, and stance-swing phase ratio. Additionally, demographic information such as gender, age, height, weight, and BMI is provided for each subject. These parameters were systematically selected for their significance in indicating gait mechanics and deviations from normal gait patterns. This dataset offers essential metrics for preliminary gait assessment, facilitating improved mobility outcomes, personalized rehabilitation programs, and preventive care strategies.

Instructions: 

N/A

Funding Agency: 
Canada Research Chair Program, in part by the McMaster Institute for Research on Aging through AGE-WELL Catalyst Funding Program, and in part by the Natural Sciences and Engineering Research Council of Canada

Comments

I want to know if this data is available for use for a researcher at university

Submitted by Shweta Kadam on Wed, 11/27/2024 - 17:49