Self-expressive subspace clustering to recognize motion dynamics for chronic ankle instability
نویسندگان
چکیده
منابع مشابه
Contributing factors to chronic ankle instability.
BACKGROUND The development of repetitive ankle sprains and persistent symptoms after initial ankle sprain has been termed chronic ankle instability (CAI). There is no clear indication of which measures are most important in discriminating between individuals with and without CAI. METHODS Thirty subjects with unilateral CAI and controls had measures of ankle laxity and hypomobility, static and...
متن کاملAnkle lateral ligament reconstruction for chronic instability.
PURPOSE To report the outcome of a technique combining direct anatomic reconstruction of the anterior talofibular ligament (ATFL) with augmented reconstruction using the peroneus brevis tendon fixed by a bio-absorbable interference screw. METHODS 13 men and 2 women aged 17 to 36 (mean, 24) years with recurrent inversion injuries of the right (n=5) and left (n=10) ankles underwent lateral ankl...
متن کاملTreatment algorithm for chronic lateral ankle instability.
INTRODUCTION ankle sprains are a common sports-related injury. A 20% of acute ankle sprains results in chronic ankle instability, requiring surgery. Aim of this paper is to report the results of a series of 38 patients treated for chronic lateral ankle instability with anatomic reconstruction. MATERIALS AND METHODS thirty-eight patients were enrolled in the study. Seventeen patients underwent...
متن کاملAssessment of chronic ankle instability
Chronic ankle instability is a complex problem which often follows ankle sprain. This workshop will discuss the latest models of chronic ankle instability and give an overview of the latest research in the area. Assessment tools available in the clinic as well as the laboratory setting will be demonstrated in the workshop with the opportunity for participants to practice. Assessments covered wi...
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Accurate identification of the cancer types is essential to cancer diagnoses and treatments. Since cancer tissue and normal tissue have different gene expression, gene expression data can be used as an efficient feature source for cancer classification. However, accurate cancer classification directly using original gene expression profiles remains challenging due to the intrinsic high-dimensio...
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ژورنال
عنوان ژورنال: IISE Transactions on Healthcare Systems Engineering
سال: 2019
ISSN: 2472-5579,2472-5587
DOI: 10.1080/24725579.2019.1673521