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Inertial measurement units (IMUs) may be used during exercise performance to assess form and technique. To maximise practicality and minimise cost a single-sensor system is most desirable. This study sought to investigate whether a single lumbar-worn IMU is capable of identifying seven commonly observed squatting deviations. Twenty-two volunteers (18 males, 4 females, age: 26.09±3.98 years, height:...
Systems based on inertial sensors are increasingly used in motion analysis due to their low cost, portability and wearability. However, since accuracy is crucial in clinical gait analysis, it is important to assess it in new systems. The aim of this study is to compare the performances of a magnetic and inertial sensors system (MIMUs) to a gold standard, the electromechanical system STEP32. Results...
Gait analysis has become recently a popular research field and been widely applied to clinical diagnosis of neurodegenerative diseases. Various low-cost sensor-based and vision-based systems are developed for capturing the hip and knee joint angles. However, the performances of these systems have not been validated and compared between each other. The purpose of this study is to set up an experiment...
We compared the accuracy measure between a single-stage classifier model and a multiple-stage classifier model in postural classifications using Kinect. Postural training sets were collected from Kinect's skeletal data streams, based on some of the common human postures during television watching. Three types of training sets were used, including Kinect's raw skeletal training set, skeletons with...
Gait is a persons manner of walking. It is a biometric that can be used for identifying humans. Gait is an unobtrusive metric that can be obtained from distance, and this is its main strength compared to other biometrics. In this paper we construct and evaluate feature sets with the purpose of finding out the role of different types of features and body parts in the recognition process. The feature...
The Smart Health paradigm has opened up immense possibilities for designing cyber-physical systems with integrated sensing and analysis for data-driven healthcare decision-making. Clinical motor-rehabilitation has traditionally tended to entail labor-intensive approaches with limited quantitative methods and numerous logistics deployment challenges. We believe such labor-intensive rehabilitation procedures...
In this work, an alignment procedure of magneto-inertial units in the Special Orthogonal Space SO(3) is presented and discussed. The procedure, designed for ambulatory measurements of lower limb kinematic, is based on simple rotation movements around anatomical axes of hip joint and its accuracy is independent of the speed as well as the range of the movements. This is particularly important for movement...
The anterior cruciate ligament (ACL) injury can cause a reason of instability along anterior — posterior translation at extension. Thus, it is important to examine the knee joint quantitatively for understanding clinical outcome. However, an quantitative calculation method of the knee joint has not been reported. Therefore, we have developed six degree of freedom (6 DOF) calculation based on principal...
Gait retraining, a promising treatment for knee osteoarthritis, requires the modification of three separate joint motions. In this paper we present the results of three studies to inform the design of a wearable haptic feedback system for this application. The first study motivates our choice of feedback modality for each of the motions. The latter two studies explore how to present haptic feedback...
Understanding the kinematics of the knee joint as it undergoes normal physical activities is an important goal of the orthopaedic research community. The limitations of previous approaches to capturing knee kinematics include the requirement for tantalum beads to be implanted prior to imaging and the use of biplanar X-ray imaging which is not commonly available in hospital imaging departments. A recently...
Vibroarthrographic (VAG) signals, generated during the active flexion and extension of the leg, represent acoustic signals caused by joint vibration and can be used as useful indicators of the roughness, softening, breakdown, or the state of lubrication of the articular cartilage surface. This paper describes an efficient algorithm in order to improve the classification accuracy of the features obtained...
The aim of this paper is to classify the vibroarthrographic (VAG) signals according to the pathological condition using the characteristic parameters extracted by the time-frequency transform, and to evaluate the classification accuracy. VAG and knee angle signals, recorded simultaneously during one flexion and one extension of the knee, were segmented and normalized at 0.5 Hz by the dynamic time...
Meniscal myxoid degeneration (MMD) represents a type of degenerative lesion, characterized by histological alterations of the meniscus. In the context of magnetic resonance (MR) imaging evaluation of MMD, the incidence of the condition is indicated by the presence of high intensity signal within the meniscus, while normal menisci are depicted as of homogeneously low intensity. In the present study,...
Knee pathologies such as patellofemoral pain syndrome (PFPS) and knee osteoarthritis (OA) can lead to pain and disability. PFPS limits mobility and potentially leads to knee osteoarthritis. A common treatment for knee OA is joint replacement surgery. In this paper, we investigated the application of multiclass support vector machines (SVM) to classify gait patterns between three knee pathology groups...
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