Relationship between the change in one-leg standing time due to visual information interception and hip joint internal rotation pattern.

[Purpose] To clarify the relationship between the laterality of one-leg standing time (OLST) due to blocking of visual information and the laterality of hip internal rotation (IR) range of motion (ROM). [Subjects and Methods] The study included 101 young healthy male and female students. Hip IR ROM was classified into three patterns using left and right differences. Regarding OLST, differences between the left and right measured values with eyes open and closed were classified into three patterns. The matching rate between hip IR ROM laterality pattern and OLST laterality pattern was examined with eyes open and closed. The matching rate of the OLST laterality pattern with hip IR ROM laterality pattern in an imbalanced group was examined. [Results] A significant difference was observed between eyes open and closed conditions in the matching rates of OLST and Hip IR ROM laterality patterns in the imbalanced group. In the imbalanced group, the pattern on the side where the Hip IR is greater changes to coincide with the pattern on the side where the OLST is longer, under the eyes closed condition. [Conclusion] OLST on the side of greater Hip IR ROM tends to be longer due to visual information interception.

The best body spot to detect the vital capacity from the respiratory movement data obtained by the wearable strain sensor.

[Purpose] The purpose of this study is to find the best body spots on the chest and abdomen wall to obtain the correlated indicators to the vital capacity. [Subjects and Methods] Thirty healthy male staff of the center served as the participants were advised to conduct a breathing movement using spirometer and a wearable strain sensor (WSS) respectively, which was the measured at four spots on chest and abdomen wall from maximal end of inspiration to maximal end of expiration. The Pearson's correlation analysis was conducted to find the correlation of the data obtained respectively by the WSS and spirometer. [Results] The correlation of the mobility data at the four body spots to the vital capacity data were calculated for each level by means of Pearson's correlation coefficient, which showed that the values at each body spot were positive significant correlations and the highest value was at the 10th rib. [Conclusion] There was a correlation between the mobility data of the chest and abdomen obtained by the WSS and the vital capacity data obtained by the spirometer, for which, the 10th rib is the best body spot to detect the positive significant correlation.