[Purpose] The purpose of this study was to analyze the biomechanical changes and patterns
of the lower extremities after gait termination in middle-aged and elderly women.
[Subjects] The study population comprised an elderly group and middle-aged group.
[Methods] To collect kinematic and kinetic data related to gait termination, six infrared
cameras and one force platform were used, and variables were calculated by using Visual
3D. [Results] During the termination phase, the elderly group generated less braking force
than the middle-aged group. During initiation of the termination phase and after the
center of gravity completely stopped moving, there was a difference between the two groups
in the hip joint angle. During the termination phase, the maximum angular velocity and
extension moment of the ankle joint and those of the knee joint were higher in the elderly
group than in the middle-aged group. [Conclusion] In contrast to the middle-aged group
that showed a rapid increase and then decrease of the initial extension moment during gait
termination, the maximum extension moment that was created during the early stage of the
termination phase in the elderly group continued until the center of gravity completely
stopped.
The method of real-time estimation of weather, especially the amount of rainfall, by analyzing CCTV images is much cheaper than one using the existing expensive weather observation equipment. In this paper, we propose a method to find an estimation model function which has its input as CCTV images and output as the amount of rainfall. From the CCTV images, we propose an algorithm for selecting the number and size of the region of interest optimized for rainfall estimation, generating a data pattern graph showing a clear distinction from the number of region of interest, clustering the pattern data graphs, and estimating the amount of rainfall. Experiments using real CCTV images show that the estimation accuracy is over 80%.
[Purpose] This study was conducted in order to investigate the effect of repetitive
passive movement and repetitive active movement on proprioception in forearm supination.
[Subjects] This study had a cross-sectional design. Twenty-three right-handed healthy
subjects were recruited. All subjects randomly received both repetitive passive movement
and repetitive active movement (repetitive passive/active movement at 120°/s with 60
repetitions over a 0–80° range). Active and passive joint repositioning of all subjects
was measured using the error score for position sense, both before and after repositioning
intervention. [Results] In the repetitive passive movement test, there was a statistically
significant decrease in the pre- versus post-repositioning error scores in the active and
passive angle examinations. In the repetitive active movement test, there was a
statistically significant increase in pre- versus post-repositioning error scores in the
active and passive angle examinations. In the comparison of position sense, there was a
statistically significant decrease in both active and passive angle repositioning error
scores in repetitive passive movement versus repetitive active movement. [Conclusion]
Repetitive passive movement improved the proprioception results for forearm supination,
compared to repetitive active movement. Results of this study indicate that repetitive
passive movement can be recommended to clinicians for rehabilitation therapy as it
provides greater proprioception benefits.
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