z-logo
open-access-imgOpen Access
A Mechanical Sensor Designed for Dynamic Joint Angle Measurement
Author(s) -
Congo TakShing Ching,
Su-Yu Liao,
Teng-Yun Cheng,
Chih-Hsiu Cheng,
TaiPing Sun,
Yan-Dong Yao,
Chin-Sung Hsiao,
Kang-Ming Chang
Publication year - 2017
Publication title -
journal of healthcare engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.509
H-Index - 29
eISSN - 2040-2309
pISSN - 2040-2295
DOI - 10.1155/2017/8465212
Subject(s) - intraclass correlation , correlation coefficient , algorithm , pearson product moment correlation coefficient , goniometer , population , mathematics , computer science , medicine , statistics , geometry , reproducibility , environmental health
Background . The measurement of the functional range of motion (FROM) of lower limb joints is an essential parameter for gait analysis especially in evaluating rehabilitation programs. Aim . To develop a simple, reliable, and affordable mechanical goniometer (MGR) for gait analysis, with six-degree freedom to dynamically assess lower limb joint angles. Design . Randomized control trials, in which a new MGR was developed for the measurements of FROM of lower limb joints. Setting . Reliability of the designed MGR was evaluated and validated by a motion analysis system (MAS). Population . Thirty healthy subjects participated in this study. Methods . Reliability and validity of the new MGR were tested by intraclass correlation coefficient (ICC), Bland-Altman plots, and linear correlation analysis. Results . The MGR has good inter- and intrarater reliability and validity with ICC ≥ 0.93 (for both). Moreover, measurements made by MGR and MAS were comparable and repeatable with each other, as confirmed by Bland-Altman plots. Furthermore, a very high degree of linear correlation ( R ≥ 0.92 for all joint angle measurements) was found between the lower limb joint angles measured by MGR and MAS. Conclusion . A simple, reliable, and affordable MGR has been designed and developed to aid clinical assessment and treatment evaluation of gait disorders.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom