کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
732818 893272 2011 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Gait phase analysis based on a Hidden Markov Model
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی کنترل و سیستم های مهندسی
پیش نمایش صفحه اول مقاله
Gait phase analysis based on a Hidden Markov Model
چکیده انگلیسی

For effective gait rehabilitation treatments, the status of a patient’s gait needs to be analyzed precisely. Since the gait motions are cyclic with several gait phases, the gait motions can be analyzed by gait phases. In this paper, a Hidden Markov Model (HMM) is applied to analyze the gait phases in the gait motions. Smart Shoes are utilized to obtain the ground reaction forces (GRFs) as observed data in the HMM. The posterior probabilities from the HMM are used to infer the gait phases, and the abnormal transition between gait phases are checked by the transition matrix. The proposed gait phase analysis methods have been applied to actual gait data, and the results show that the proposed methods have the potential of tools for diagnosing the status of a patient and evaluating a rehabilitation treatment.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mechatronics - Volume 21, Issue 6, September 2011, Pages 961–970
نویسندگان
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