کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1761061 1019632 2012 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Recognition of Finger Flexion Motion from Ultrasound Image: A Feasibility Study
موضوعات مرتبط
مهندسی و علوم پایه فیزیک و نجوم آکوستیک و فرا صوت
پیش نمایش صفحه اول مقاله
Recognition of Finger Flexion Motion from Ultrasound Image: A Feasibility Study
چکیده انگلیسی
Muscle contraction results in structural and morphologic changes of the related muscle. Therefore, finger flexion can be monitored from measurements of these morphologic changes. We used ultrasound imaging to record muscle activities during finger flexion and extracted features to discriminate different fingers' flexions using a support vector machine (SVM). Registration of ultrasound images before and after finger flexion was performed to generate a deformation field, from which angle features and wavelet-based features were extracted. The SVM was then used to classify the motions of different fingers. The experimental results showed that the overall mean recognition accuracy was 94.05% ± 4.10%, with the highest for the thumb (97%) and the lowest for the ring finger (92%) and the mean F value was 0.94 ± 0.02, indicating high accuracy and reliability of this method. The results suggest that the proposed method has the potential to be used as an alternative method of surface electromyography in differentiating the motions of different fingers.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ultrasound in Medicine & Biology - Volume 38, Issue 10, October 2012, Pages 1695-1704
نویسندگان
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