DocumentCode :
239741
Title :
Characterization of individual muscle activities during isometric contraction using ultrasound imaging
Author :
Jizhou Li ; Yongjin Zhou ; Xin Chen ; Guo Dan ; Yong-Ping Zheng
Author_Institution :
Sch. of Med., Shenzhen Univ., Shenzhen, China
fYear :
2014
fDate :
20-23 Aug. 2014
Firstpage :
162
Lastpage :
166
Abstract :
The quantification of human muscle contraction is required by many biomechanical studies. Ultrasound imaging has been widely used to study muscle function for decades, and morphological parameters, such as muscle fiber length, muscle thickness, pennation angle and cross sectional area, have been used to reflect muscle contraction. However, few details regarding the motion activity of a muscle group (such as quadriceps muscle, QM) or an individual muscle (such as rectus femoris, RF), during its working for the completion of a movement, were quantitatively investigated. This study introduces a novel approach based on motion feature extraction to provide a new descriptor for local muscle activities during the completion of pre-defined body movements. Specifically speaking, this approach is applied to investigate the QM during isometric contraction in eight subjects using ultrasound imaging. Preliminary results indicate that the proposed approach is capable of providing new perspectives about the activity patterns of both RF and QM.
Keywords :
biomechanics; biomedical ultrasonics; feature extraction; image motion analysis; medical image processing; muscle; ultrasonic imaging; QM; biomechanical study; cross sectional area; human muscle contraction quantification; isometric contraction; local muscle activity characterization; morphological parameters; motion feature extraction; muscle fiber length; muscle group motion activity; muscle thickness; pennation angle; pre-defined body movements; quadriceps muscle; ultrasound imaging; Digital signal processing; Feature extraction; Force; Imaging; Muscles; Radio frequency; Ultrasonic imaging; Individual muscle activity; Isometric contraction; Ultrasonography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Signal Processing (DSP), 2014 19th International Conference on
Conference_Location :
Hong Kong
Type :
conf
DOI :
10.1109/ICDSP.2014.6900820
Filename :
6900820
Link To Document :
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