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Digital human and embodied intelligence for sports science: advancements, opportunities and prospects
This paper presents a comprehensive review of state-of-the-art motion capture techniques for digital human modeling in sports, including traditional...
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Design and evaluation of an exergame system to assist knee disorders patients' rehabilitation based on gesture interaction
We designed a knee rehabilitation exercise game (Exergame) for home-based rehabilitation of patients with knee disorders. The system includes three...
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Video-Based Computer Aided Arthroscopy for Patient Specific Reconstruction of the Anterior Cruciate Ligament
The Anterior Cruciate Ligament tear is a common medical condition that is treated using arthroscopy by pulling a tissue graft through a tunnel opened...
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Tibial eminence: a new anatomical risk factor for anterior cruciate ligament injuries
Recently, the geometry of the tibial plateau has drawn a lot of attention as a source of possible risk factors for anterior cruciate ligament injury....
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Weighted Utility: A Utility Metric Based on the Case-Wise Raters’ Perceptions
In this article we discuss a novel utility metrics for the evaluation of AI-based decision support systems, which is based on the users’ perceptions...
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Sensor-guided gait-synchronization lower-extremity-exoskeleton for potential application on unilateral knee-injured people
This paper presents a sensor-guided gait-synchronization system to help potential unilateral knee-injured people walk normally with a...
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Knee joint vibration signal classification algorithm based on machine learning
The knee joint is the largest and most complex flexion and extension joint of the human body. It supports most of the weight of the human body during...
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Gamification in mHealth - Opportunities and Privacy Risks
The use of mobile devices and wearables in healthcare is an important trend. To increase the motivation for regular use of such mHealth applications...
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sEMG-based deep learning framework for the automatic detection of knee abnormality
Knee abnormality is a vital issue that can be diagnosed utilizing a sEMG signal to detect muscle abnormalities. Manually analyzing EMG data is...
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3D-2D Registration Using X-Ray Simulation and CMA-ES
Radiographs of the hand are useful in diagnosing and staging diseases such as rheumatoid arthritis (RA) and other musculoskeletal diseases....
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Self-supervised Depth Estimation to Regularise Semantic Segmentation in Knee Arthroscopy
Intra-operative automatic semantic segmentation of knee joint structures can assist surgeons during knee arthroscopy in terms of situational...
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Haptic/virtual reality orthopedic surgical simulators: a literature review
This paper presents a review of surgical simulators, developed to enhance the learning process of surgical procedures, that involves bones, ranging...
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Objective metrics for ethical AI: a systematic literature review
The field of AI Ethics has recently gained considerable attention, yet much of the existing academic research lacks practical and objective...
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Dynamical Characteristics of Anterior Cruciate Ligament Deficiency Combined Meniscus Injury Knees
It has been commonly believed that concomitant meniscus injuries may alter the dynamical condition of knee joint. The aim of this study was to...
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Anterior cruciate ligament reconstruction model based on anatomical position locating
In the reconstruction surgery of Anterior Cruciate Ligament (ACL), how to locate the anatomical position is a very hard point to clinician...
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An Intraoperative Localization Method of Femoral Tunnel Entry Point for ACL Reconstruction
The Anterior Cruciate Ligament (ACL) is one of the four main ligaments of the knee and crucial to stabilizing the knee. In the surgery of...
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An Efficient ACL Segmentation Method
Soft-tissue segmentation has always been difficult point in the medical research of diagnosis of soft-tissue defects. Especially for Anterior...
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Biomimetic Knee Design to Improve Joint Torque and Life for Bipedal Robotics
This paper details the design, construction, and performance analysis of a biologically inspired knee joint for use in bipedal robotics. The design...
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A database-driven neural computing framework for classification of vertical jump patterns of healthy female netballers using 3D kinematics–EMG features
Classification of athletes’ performance in vertical jump (VJ) tests is a recommended practice at various stages of athlete fitness development and...
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Development of a Bio-inspired Knee Joint Mechanism for a Bipedal Robot
This paper presents the design and development of a novel biologically inspired knee design for humanoid robots. The robotic joint presented mimics...