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 proceedingConference article published in proceeding or bookAcademic researchpeer-review

20 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 languageEnglish
Title of host publication2010 International Conference on Biomedical Engineering and Computer Science, ICBECS 2010
DOIs
Publication statusPublished - 15 Jun 2010
Event2010 International Conference on Biomedical Engineering and Computer Science, ICBECS 2010 - Wuhan, China
Duration: 23 Apr 201025 Apr 2010

Conference

Conference2010 International Conference on Biomedical Engineering and Computer Science, ICBECS 2010
Country/TerritoryChina
CityWuhan
Period23/04/1025/04/10

Keywords

  • Finger
  • Flexion
  • Optical flow
  • Ultrasound

ASJC Scopus subject areas

  • Computer Science Applications
  • Biomedical Engineering

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