• DocumentCode
    2338678
  • Title

    Recognition of Finger Flexion from Ultrasound Image with Optical Flow: A Preliminary Study

  • Author

    Shi, Jun ; Hu, Shu-Xian ; Liu, Zhi ; Guo, Jing-Yi ; Zhou, Yong-Jin ; Zheng, Yong-Ping

  • Author_Institution
    Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
  • fYear
    2010
  • fDate
    23-25 April 2010
  • Firstpage
    1
  • Lastpage
    4
  • 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
    feature extraction; image sequences; medical image processing; ultrasonic imaging; extensor muscle; feature extraction; finger flexion recognition; muscle deformation recognition; optical flow algorithm; skeletal muscle contraction; ultrasound image; ultrasound imaging; Bioelectric phenomena; Biomedical optical imaging; Fingers; Image motion analysis; Image recognition; Magnetic resonance imaging; Muscles; Optical imaging; Optical recording; Ultrasonic imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Computer Science (ICBECS), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5315-3
  • Type

    conf

  • DOI
    10.1109/ICBECS.2010.5462343
  • Filename
    5462343