Asymptomatic and Knee Osteoarthritis Automatic Gait Pattern Analysis Using a Wavelet Representation of Kinetic Data and the Nearest Neighbor Classifier
نویسندگان
چکیده
The aim of this study is to develop an automatic computer method to discriminate asymptomatic from knee osteoarthritis pathological gait patterns using ground reaction forces. We investigate a discriminant feature of kinetic data based on wavelets. Classification is based on the nearest neighbor classifier. Experiments were conducted using data of 43 cases, 16 asymptomatic and 27 pathological. The proposed method has a high success rate of 39/43.
منابع مشابه
Predicting knee osteoarthritis risk in injured populations
BACKGROUND Individuals who suffered a lower limb injury have an increased risk of developing knee osteoarthritis. Early diagnosis of osteoarthritis and the ability to track its progression is challenging. This study aimed to explore links between self-reported knee osteoarthritis outcome scores and biomechanical gait parameters, whether self-reported outcome scores could predict gait abnormalit...
متن کاملAutomatic Prostate Cancer Segmentation Using Kinetic Analysis in Dynamic Contrast-Enhanced MRI
Background: Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) provides functional information on the microcirculation in tissues by analyzing the enhancement kinetics which can be used as biomarkers for prostate lesions detection and characterization.Objective: The purpose of this study is to investigate spatiotemporal patterns of tumors by extracting semi-quantitative as well as w...
متن کاملEffects of backward gait training protocol on knee adduction moment and impulse during walking in patients with medial knee osteoarthritis
Background and Aim: The aim of this study was to investigate the effects of backward gait training protocol on knee adduction moment and impulse in male patients with medial knee osteoarthritis. Materials and Methods: This quasi-experimental study with a pretest-posttest design included two control groups (healthy and patient) and an experimental group (subjects with medial knee osteoarthritis)...
متن کاملDiagnosis of Tempromandibular Disorders Using Local Binary Patterns
Background: Temporomandibular joint disorder (TMD) might be manifested as structural changes in bone through modification, adaptation or direct destruction. We propose to use Local Binary Pattern (LBP) characteristics and histogram-oriented gradients on the recorded images as a diagnostic tool in TMD assessment.Material and Methods: CBCT images of 66 patients (132 joints) with TMD and 66 normal...
متن کاملAnkle rotation changes and its influences in knee osteoarthritis
Background : Biomechanical factors are known to be important in knee osteoarthritis (OA) development and progression. This study was designed to determine changes of hamstrings muscle activation, knee adduction moment and ankle rotation angle in two knee osteoarthritis (mild and moderate) and a healthy control group. Methods: 16 females (10 with mild and 6 with moderate medial knee osteoart...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2006