Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Bayesian Networks and Decision Graphs
Bayesian Networks and Decision Graphs
IEEE Transactions on Knowledge and Data Engineering
Dynamic bayesian networks: representation, inference and learning
Dynamic bayesian networks: representation, inference and learning
ICTAI '05 Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence
Learning Bayesian Networks
CBMS '07 Proceedings of the Twentieth IEEE International Symposium on Computer-Based Medical Systems
IEEE Transactions on Robotics - Special issue on rehabilitation robotics
Improved Learning of Bayesian Networks in Biomedicine
ISDA '09 Proceedings of the 2009 Ninth International Conference on Intelligent Systems Design and Applications
IEEE Transactions on Information Technology in Biomedicine - Special section on body sensor networks
Cyclic articulated human motion tracking by sequential ancestral simulation
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
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Recently, the area of healthcare has been tremendously benefited from the advent of high performance computing in improving quality of life. Different processing techniques have been developed to understand the hidden complexity of the time series and will help clinicians in diagnosis and treatment. Analysis of human walking helps to study the various pathological conditions affecting balance and the elderly. In an elderly subjects, falls and paralysis are major problems, in terms of both frequency and consequences. Correct postural balance is important to well being and its effects will be felt in every movement and activity. In this paper, Bayesian Network (BN) was applied to recorded muscle activities and joint motions during walking, to extract causal information structure of normal walking and different impaired walking. The aim of this study is to use different BNs to express normal walking and various impaired walking, and identify the most important causal pairs that characterize specific impaired walking, through comparing the BNs for different walking.