| An Optical Flow Based Method to Predict Infantile Cerebral Palsy. | |
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MedLine Citation:
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PMID: 22531824 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Cerebral palsy (CP) is a perinatally acquired nonprogressive brain damage resulting in motor impairment affecting mobility and posture. Early identification of infants with CP is desired to target early interventions and follow-up. During early infancy, distinct motion patterns occur which are highly predictive for later disability. These motor patterns can be observed and recorded. In the present paper a method to predict later CP based on early video recordings of the infants spontaneous movements, applying optical flow and statistical pattern recognition, is presented. We extract motion information from video recordings of young infants using a total variation related optical flow method. By using wavelet analysis features from motion trajectories of points initiated on a regular grid were extracted and classified using a support vector machine (SVM). |
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Authors:
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A Stahl; C Schellewald; O Stavdahl; O Aamo; L Adde; H Kirkerod |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2012-4-18 |
Journal Detail:
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Title: IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Volume: - ISSN: 1558-0210 ISO Abbreviation: - Publication Date: 2012 Apr |
Date Detail:
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Created Date: 2012-4-25 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101097023 Medline TA: IEEE Trans Neural Syst Rehabil Eng Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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