DocumentCode
2395031
Title
A low-cost video-based tool for clinical gait analysis
Author
Soda, Paolo ; Carta, Alfonso ; Formica, Domenico ; Guglielmelli, Eugenio
Author_Institution
Med. Inf. & Comput. Sci. Lab., Univ. Campus Bio-Medico di Roma, Rome, Italy
fYear
2009
fDate
3-6 Sept. 2009
Firstpage
3979
Lastpage
3982
Abstract
In physical and rehabilitation medicine physicians need to perform clinical gait analysis to assess patients walking ability. Despite the relevant research on motion tracking, gait analysis technologies are far to be commonly diffused in clinical practice since they are quite expensive, need high-structured laboratories and trained personnel who are not always available. In order to overcome such limitations, this work proposes a low-cost, video-based portable tool for clinical gait analysis which provides the bi-dimensional kinematic analysis of walking. The system processes a video stream by means of tracking different markers placed in five anatomical landmarks of the subject´s leg, applying Kalman filter in conjunction with a method that copes with occlusions. The system has been validated on a healthy subject, showing that it is able to reconstruct marker position and leg kinematics even if several occlusions occur.
Keywords
Kalman filters; biomedical communication; gait analysis; image motion analysis; medical image processing; tracking; video streaming; Kalman filter; bi-dimensional kinematic analysis; clinical gait analysis; leg; low-cost video-based portable tool; marker position; motion tracking; occlusions; physical medicine; rehabilitation medicine; video stream; walking; Algorithms; Automatic Data Processing; Biomechanics; Biophysics; Gait; Humans; Leg; Models, Anatomic; Models, Statistical; Movement; Pattern Recognition, Automated; Software; Video Recording; Walking;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location
Minneapolis, MN
ISSN
1557-170X
Print_ISBN
978-1-4244-3296-7
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2009.5333623
Filename
5333623
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