کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6206213 1265640 2015 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A simple method to choose the most representative stride and detect outliers
ترجمه فارسی عنوان
یک روش ساده برای انتخاب اکثر نماینده گام و شناسایی ناهنجارها
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی ارتوپدی، پزشکی ورزشی و توانبخشی
چکیده انگلیسی


- Automatic selection of representative stride.
- Automatic selection of outliers.
- Single or multiple-kinematic variables algorithm.

Kinematic data for gait analysis consists of joint angle curves plotted against percentages of the gait cycle. A typical gait analysis entails repeated measurement of the kinematic data. We present an automatic and computationally inexpensive method to choose the most representative curve and detect outliers amongst repeated curves. The method is based on the notion of depth, where the deepest curve is the equivalent to the median for univariate data. The method applies to single kinematic variable or multi-kinematic variables such as the gait profile. It is sensitive to both shape and position of the curves. A comparison with an existing statistical method is presented as well as an example on one patient's data.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Gait & Posture - Volume 41, Issue 2, February 2015, Pages 726-730
نویسندگان
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