a23273c9-af27-49d2-ab7a-5d4b0286126120210205111354043wseamdt@crossref.orgMDT DepositWSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE1109-951810.37394/23208http://wseas.org/wseas/cms.action?id=40112720202720201710.37394/23208.2020.17http://wseas.org/wseas/cms.action?id=23181Principal Component Analysis of the Modified Clinical Test Ofsensory Interaction in Healthy Adult HumansOseikhuemenDavis OjieIndustry & Innovation Research Institute (I2Ri), Faculty of Science, Technology and Arts, Sheffield Hallam University, Sheffield, UNITED KINGDOMRezaSaatchiIndustry & Innovation Research Institute (I2Ri), Faculty of Science, Technology and Arts, Sheffield Hallam University, Sheffield, UNITED KINGDOMA number of mechanisms and sensory systems in humans are associated with the maintenance of balance. Diagnosis and monitoring of balance dysfunctions could be assisted by exploring deviations of data recorded from patients with comparative or reference data from healthy individuals. To this effect, principal component analysis (PCA) was applied to accelerometry obtained time domain balance data. The data were recorded from 21 healthy adults (10 males and 11 females, mean age 24.5 years, standard deviation 4.0 years, mean height 173.6 cm, standard deviation 6.8 cm, and mean weight 72.7 kg, standard deviation 9.9 kg) in the medio-lateral (ML) and anterior- posterior (AP) directions. The subjects performed tasks specified in the modified clinical test of sensory interaction on balance (mCTSIB) while an accelerometry device was attached at their lower back, in the position of the iliac crest. Eighteen-time domain measures that quantified body's displacement, velocity and acceleration were obtained and processed using PCA. Based on the observations from PCA, further investigations were carried out on the root mean square (RMS) velocity using the Bland and Altman plots and other statistical related analysis. 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