Recognition of finger flexion from ultrasound image with optical flow: A preliminary study

Jun Shi; Shu Xian Hu; Zhi Liu; Jing Yi Guo; Yong Jin Zhou; Yongping Zheng

doi:10.1109/ICBECS.2010.5462343

Recognition of finger flexion from ultrasound image with optical flow: A preliminary study

Jun Shi, Shu Xian Hu, Zhi Liu, Jing Yi Guo, Yong Jin Zhou, Yongping Zheng

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

23 Citations (Scopus)

Abstract

Ultrasound imaging has been widely used to investigate the morphological changes during skeletal muscle contraction. In this study, the ultrasound images were recorded from extensor muscle during finger flexion, and the optical flow algorithm was used to recognize the muscle deformation for different fingers' flexions. The preliminary results demonstrated that the directions of optical flow and deformation areas of muscle contraction at certain location were different for five fingers' flexions. The proposed approach has the potential to classify finger flexion with the feature extraction from optical flow field.

Original language	English
Title of host publication	2010 International Conference on Biomedical Engineering and Computer Science, ICBECS 2010
DOIs	https://doi.org/10.1109/ICBECS.2010.5462343
Publication status	Published - 15 Jun 2010
Event	2010 International Conference on Biomedical Engineering and Computer Science, ICBECS 2010 - Wuhan, China Duration: 23 Apr 2010 → 25 Apr 2010

Conference

Conference	2010 International Conference on Biomedical Engineering and Computer Science, ICBECS 2010
Country/Territory	China
City	Wuhan
Period	23/04/10 → 25/04/10

Keywords

Finger
Flexion
Optical flow
Ultrasound

ASJC Scopus subject areas

Computer Science Applications
Biomedical Engineering

More information

10.1109/ICBECS.2010.5462343

Cite this

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title = "Recognition of finger flexion from ultrasound image with optical flow: A preliminary study",

abstract = "Ultrasound imaging has been widely used to investigate the morphological changes during skeletal muscle contraction. In this study, the ultrasound images were recorded from extensor muscle during finger flexion, and the optical flow algorithm was used to recognize the muscle deformation for different fingers' flexions. The preliminary results demonstrated that the directions of optical flow and deformation areas of muscle contraction at certain location were different for five fingers' flexions. The proposed approach has the potential to classify finger flexion with the feature extraction from optical flow field.",

keywords = "Finger, Flexion, Optical flow, Ultrasound",

author = "Jun Shi and Hu, {Shu Xian} and Zhi Liu and Guo, {Jing Yi} and Zhou, {Yong Jin} and Yongping Zheng",

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Shi, J, Hu, SX, Liu, Z, Guo, JY, Zhou, YJ & Zheng, Y 2010, Recognition of finger flexion from ultrasound image with optical flow: A preliminary study. in 2010 International Conference on Biomedical Engineering and Computer Science, ICBECS 2010., 5462343, 2010 International Conference on Biomedical Engineering and Computer Science, ICBECS 2010, Wuhan, China, 23/04/10. https://doi.org/10.1109/ICBECS.2010.5462343

Recognition of finger flexion from ultrasound image with optical flow: A preliminary study. / Shi, Jun; Hu, Shu Xian; Liu, Zhi et al.
2010 International Conference on Biomedical Engineering and Computer Science, ICBECS 2010. 2010. 5462343.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AU - Shi, Jun

AU - Hu, Shu Xian

AU - Liu, Zhi

AU - Guo, Jing Yi

AU - Zhou, Yong Jin

AU - Zheng, Yongping

PY - 2010/6/15

Y1 - 2010/6/15

N2 - Ultrasound imaging has been widely used to investigate the morphological changes during skeletal muscle contraction. In this study, the ultrasound images were recorded from extensor muscle during finger flexion, and the optical flow algorithm was used to recognize the muscle deformation for different fingers' flexions. The preliminary results demonstrated that the directions of optical flow and deformation areas of muscle contraction at certain location were different for five fingers' flexions. The proposed approach has the potential to classify finger flexion with the feature extraction from optical flow field.

AB - Ultrasound imaging has been widely used to investigate the morphological changes during skeletal muscle contraction. In this study, the ultrasound images were recorded from extensor muscle during finger flexion, and the optical flow algorithm was used to recognize the muscle deformation for different fingers' flexions. The preliminary results demonstrated that the directions of optical flow and deformation areas of muscle contraction at certain location were different for five fingers' flexions. The proposed approach has the potential to classify finger flexion with the feature extraction from optical flow field.

KW - Finger

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KW - Optical flow

KW - Ultrasound

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DO - 10.1109/ICBECS.2010.5462343

M3 - Conference article published in proceeding or book

SN - 9781424453153

BT - 2010 International Conference on Biomedical Engineering and Computer Science, ICBECS 2010

T2 - 2010 International Conference on Biomedical Engineering and Computer Science, ICBECS 2010

Y2 - 23 April 2010 through 25 April 2010

ER -

Recognition of finger flexion from ultrasound image with optical flow: A preliminary study

Abstract

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Keywords

ASJC Scopus subject areas

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