Automatic Segmentation of Stabilometric Signals Using Hidden Markov Model Regression.

IEEE Transactions on Automation Science and Engineering(2018)

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摘要
Posture analysis in quiet standing is an essential element in evaluating human balance control. Many factors enhance the human control system's ability to maintain stability, such as the visual system and base of support (feet) placement. In contrast, many neural pathologies, such as Parkinson's disease (PD) and cerebellar disorder, disturb human stability. This paper addresses the problem of the ...
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关键词
Hidden Markov models,Foot,Feature extraction,Visualization,Control systems,Stability criteria
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