Patellar taping alters knee kinematics during step descent in individuals with a meniscal injury: An exploratory study

Roy, Nicolas; Gaudreault, Nathaly; Tousignant, Michel; François, Vézina; Boudreau, Nicolas

doi:10.1016/j.clinbiomech.2015.09.018

Cited by 2 publications

(2 citation statements)

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“…The average at foot strike, peak during support of knee flexion angle during stair ascent, and peak during swing of knee flexion angle during stair descent in sagittal plane were significantly different from controls [17]. There were differences between the maximum and the range of knee flexion angle in sagittal plane of meniscal tear patients and controls [18].…”

Section: Related Workmentioning

confidence: 74%

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Extraction of Stair Walking Parameters in Living Space by Using Kinect v2

Ogawa

Yorozu

Mita

et al. 2016

7th Forum on New Materials - Part D

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These days, many problems are associated with the increase of people need nursing care due to the aging society. To help the problems, expanding the healthy life expectancy is important. Thus, we have been suggesting the “Monitoring System” which can monitor the resident’s daily life. This system aims to monitor changes of resident’s behaviors as unusual signs to prevent related accidents or diseases. As a part of the system, we focused on walking. As it is reported that the ability of walking is related to many disabilities, analyzing the walking patterns is effective to know the aging level. Especially for stair walking, relatively higher ability is needed compared with level walking, that is, the decline of walking ability will appear in stair walking earlier. Therefore, we focused on the stair walking in this study. In the previous researches, sensors such as markers or electrodes are mainly used to obtain the walking information. As our system is intended to be used in living space, sensors attached to a subject’s body are unacceptable. Thus we used Kinect v2 to acquire the coordinate points of human joints without restraining subjects in this study. We use depth data considering the privacy protection. Several verification experiments to evaluate accuracy of our proposed system have been conducted.

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Section: Related Workmentioning

confidence: 74%

“…According to these conventional studies, they used 3D motion capture systems [15,17,18], force plates [14,15], electromyography devices [14], and electrogoniometers [14]. 3D motion capture systems, electromyography devices, and electrogoniometers restrain the subject by putting markers or electrodes on their bodies.…”

Section: Related Workmentioning

confidence: 99%