Abstract
A optimization method of human-body ADL(activity of daily living) real-time monitoring system design method based on wireless sensor network is proposed, which is able to detect elderly people body posture and biological signal at rehabilitation centers and nursing homes and doctor or their family can know patients’ body state through mobile phone or PC. The number of nodes in each base station increase can cause network congestion. A optimization data transmission algorithm based on Bayesian network is presented, and sensors under the Bayesian network distribution model and algorithm are built. Finally, experiments results indicate that system’s real-time performance is improved and parameters of Bayesian network training method is effective.
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