A new method for determining lumbar spine motion using Bayesian belief network

Medical and Biological Engineering and Computing

Volumn 46, Issue 4, 2008, Pages 333-340

  Ma, Heather Ting ^a   Yang, Zhengyi ^b   Griffith, James F ^a   Leung, Ping Chung ^a   Lee, Raymond Y W ^c  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^b UNIVERSITY OF QUEENSLAND   (Australia)

^c UNIVERSITY OF BRIGHTON   (United Kingdom)

Author keywords

Bayesian belief networks; Dynamic modeling; Intervertebral kinematics; Lumbar spine motion; Spine biomechanics

Indexed keywords

BAYESIAN NETWORKS; DYNAMIC MODELS; JOINTS (ANATOMY); KINEMATICS; RADIOGRAPHY;

INTERVERTEBRAL KINEMATICS; LUMBAR SPINE MOTION; SPINE BIOMECHANICS;

BIOMECHANICS;

AGED; ANALYTICAL ERROR; ARTICLE; BAYES THEOREM; BODY POSTURE; CONTROLLED STUDY; CORRELATION COEFFICIENT; FEMALE; HUMAN; HUMAN EXPERIMENT; INTERVERTEBRAL ARTICULATION; KINEMATICS; LUMBAR SPINE; MAGNETIC AND ELECTROMAGNETIC EQUIPMENT; MALE; MOTION ANALYSIS SYSTEM; NON INVASIVE MEASUREMENT; NORMAL HUMAN; PREDICTION; SPINE RADIOGRAPHY; VALIDITY;

AGED; BAYES THEOREM; BIOMECHANICS; FEMALE; HUMANS; INTERVERTEBRAL DISK; LUMBAR VERTEBRAE; MALE; MODELS, BIOLOGICAL; NEURAL NETWORKS (COMPUTER); RANGE OF MOTION, ARTICULAR;

EID: 41149084888     PISSN: 01400118     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11517-008-0318-y     Document Type: Article

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