A Deterministic Model of Human Motion Based on Algebraic Techniques and a Sensor Network to Simulate Shoulder Kinematics.

Autor: Kendricks KD; College of Sciences, University of Nevada-Las Vegas, Las Vegas, NV 89154, USA., Taylor A; Department of Mathematics and Computer Science, Central State University, Wilberforce, OH 45384, USA., Barki A; Department of Engineering Physics, Air Force Institute of Technology, Wright Patterson Air Force Base, Ohio 45433, USA., Tuttle RF; Department of Engineering Physics, Air Force Institute of Technology, Wright Patterson Air Force Base, Ohio 45433, USA., Kohles SS; Division of Biomaterials & Biomechanics, Department of Restorative Dentistry, Oregon Health & Science University, Portland, Oregon 97201, USA.
Jazyk: angličtina
Zdroj: Journal of advanced biotechnology and bioengineering [J Adv Biotechnol Bioeng] 2015 Mar; Vol. 3 (1), pp. 1-6.
DOI: 10.12970/2311-1755.2015.03.01.1
Abstrakt: Limiting the quantitative characterization of ambulatory mobility to only the two-dimensional sagittal plane through the investigation of key kinematic parameters, may still inform scientists and bioengineers of critical elements of joint locomotion. This paper presents the initial validation of a deterministic biomechanical gait model that was derived from an inverse kinematic analysis of three-dimensional upper extremity movement. Algebraic methods were applied to generate shoulder flexion and extension angles during a single gait cycle during normal walking. The direct kinematic measurements from a motion capture system were analyzed and compared to the predicted measurements from the algebraic model for eight healthy, human subjects. The predicted results over all subjects varied from the actual joint angle measurements with a nominal amount of mean error (23%), while correlations were quite strong (mean R 2 = 0.97). These findings indicate the potential value of deterministic modeling with algebraic techniques as an alternative to existing methods.
Databáze: MEDLINE