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Analysis of sensory system aspects of postural stability during quiet standing in adolescent idiopathic scoliosis patients

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Figure

Fig. 1 Diagram of analysis process of CoP signal using DWT method. The level of DWT is determined by the characteristic of CoP signal andwavelet function
Fig. 2 Results of the discrete decomposition of the CoP signal into 11 level low-frequency signals
Fig. 4 Energy content (%) of CoP signal during quiet standingin AIS group. a Energy content (EEO%) for each level sectionwith eyes open condition (b) energy content (EEC%) for eachlevel section with eyes closed condition (c) statistical comparison ofdifference of EEO% and EEC% for each level section
Table 1 Quantification result (mean ± standard deviation) of ΔEEYE% depending on level in control and AIS groups
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