NDLI: Influence of lower extremity alignment on human gait based on wireless sensors

Content Provider	IEEE Xplore Digital Library
Author	Saga, N. Irie, S. Dobashi, H. Maehara, K. Sogabe, A.
Copyright Year	2012
Description	Author affiliation: Department of Human System Interaction, Kwansei Gakuin University, 2-1 Gakuen, Sanda, Hyogo, 669-1337, Japan (Saga, N.; Irie, S.; Dobashi, H.) \|\| Education & Research Center for Sports & Health Science, Konan University, 9-4Koyo-cho, Higashinada-ku, Kobe, Hyogo, 658-0032, Japan (Maehara, K.)
Abstract	This study was conducted to measure human gait locomotion according to different lower extremity alignments, and to assess the alignment effects on knees and leg muscles. We analyzed the movements of a walking person, particularly assessing the ground reaction force and muscle potential. Patients were separated into three groups by knee arrangement as normal, genu varum, and genu valgum. After fitting markers to the patients, motion capture imaging was used to analyze their movements. Thereby, we ascertained the locus of the knee-joint marker. Different movement features were clarified when we observed a front view of each knee-type. Next, we measured the ground reaction force using a tactile sensor, which revealed no great difference in the results among these knee types. Finally, we measured the muscle potential. Results of the vastus medialis, vastus lateralis, gastrocnemius medialis and adductor longus reveal differences among knee types. This report describes results measured using multimodal sensors for the influence on walking activity by the difference of lower extremity alignment.
Starting Page	270
Ending Page	274
File Size	790383
Page Count	5
File Format	PDF
ISBN	9781467316439
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-28
Publisher Place	New Zealand
Access Restriction	Subscribed
Rights Holder	AUT University
Subject Keyword	Knee Legged locomotion Force measurement Knee alignment Gait Force Muscles Tactile sensor Biomechanics Walking Kinematics Joints Floors EMG
Content Type	Text
Resource Type	Article

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