NDLI: Real-time measurement of rectus femoris muscle kinematics during drop jump using ultrasound imaging: A preliminary study

Content Provider	IEEE Xplore Digital Library
Author	Eranki, A. Cortes, N. Ferencek, Z.G. Kim, J.J. Sikdar, S.
Copyright Year	2012
Description	Author affiliation: Sch. of Phys., Astron., & Comput. Sci., George Mason Univ., Fairfax, VA, USA (Ferencek, Z.G.) \|\| Dept. of Electr. & Comput. Eng., George Mason Univ., Fairfax, VA, USA (Eranki, A.; Sikdar, S.) \|\| Northern Virginia Orthopedic Specialists, Manassas, VA, USA (Kim, J.J.) \|\| Sch. of Recreation, Health & Tourism, George Mason Univ., Manassas, VA, USA (Cortes, N.)
Abstract	We have developed an office based vector tissue Doppler imaging (vTDI) that can be used to quantitatively measure muscle kinematics using ultrasound. The goal of this preliminary study was to investigate if vTDI measures are repeatable and can be used robustly to measure and understand the kinematics of the rectus femoris muscle during a drop jump task. Data were collected from 8 healthy volunteers. Vector TDI along with a high speed camera video was used to better understand the dynamics of the drop jump. Our results indicate that the peak resultant vector velocity of the rectus femoris immediately following landing was repeatable across trials (intraclass correlation coefficient=0.9).The peak velocity had a relatively narrow range in 6 out of 8 subjects (48-62 cm/s), while in the remaining two subjects it exceeded 70 cm/s. The entire drop jump lasted for 1.45 0.27 seconds. The waveform of muscle velocity could be used to identify different phases of the jump. Also, the movement of the ultrasound transducer holder was minimal with peak deflection of 0.91 0.54 degrees over all trials. Vector TDI can be implemented in a clinical setting using an ultrasound system with a research interface to better understand the muscle kinematics in patients with ACL injuries.
Sponsorship	IEEE Eng. Medicine Biol. Soc.
Starting Page	4851
Ending Page	4854
File Size	958593
Page Count	4
File Format	PDF
ISBN	9781424441198
ISSN	1557170X
e-ISBN	9781457717871
DOI	10.1109/EMBC.2012.6347080
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Muscles Ultrasonic imaging Knee Transducers Kinematics Ultrasonic variables measurement Vectors muscle motion Ultrasonography vector Doppler tissue motion drop jump anterior cruciate ligament injury osteoarthritis musculoskeletal imaging signal processing
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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