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Fabi Prezja, Leevi Annala, Sampsa Kiiskinen and Timo Ojala
Diagnosing knee joint osteoarthritis (KOA), a major cause of disability worldwide, is challenging due to subtle radiographic indicators and the varied progression of the disease. Using deep learning for KOA diagnosis requires broad, comprehensive dataset...
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Lei Sun, Honglei An, Hongxu Ma, Qing Wei and Jialong Gao
Lower limb knee?ankle prostheses can effectively assist above-knee amputees in completing their basic daily activities. This study explored methods for estimating the joint kinematics of intelligent lower limb prostheses to better adapt them to the walki...
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Aquib Raza, Thien-Luan Phan, Hung-Chung Li, Nguyen Van Hieu, Tran Trung Nghia and Congo Tak Shing Ching
Knee osteoarthritis (KOA) is a leading cause of disability, particularly affecting older adults due to the deterioration of articular cartilage within the knee joint. This condition is characterized by pain, stiffness, and impaired movement, posing a sig...
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Enze Shao, Qichang Mei, Tongjun Ye, Bálint Kovács, Julien S. Baker, Wei Liu and Yaodong Gu
Interval running methodologies simulate competition and training conditions, with the aim of enhancing an athletes? ability to cope with constant deceleration, acceleration, and sudden changes in direction, as associated athletic and performance challeng...
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Lucrezia Lazzarini, Marco Civera, Vito Burgio, Mariana Rodriguez Reinoso, Paola Antonaci and Cecilia Surace
This study outlines a novel procedure for the Finite Element Modelling and Analysis of motocross knee braces under race conditions. The aim is to quantitatively evaluate the effectiveness of such stabilisers in reducing the risk and consequences of muscu...
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E. Anyuli Alvarez Salcido, Daniel Centeno-Barreda, Yukio Rosales, Ricardo Lopéz-Gutiérrez, Sergio Salazar and Rogelio Lozano
This paper presents the development of a robust control algorithm to be applied in a knee and ankle joint exoskeleton designed for rehabilitation of flexion/extension movements. The goal of the control law is to follow the trajectory of a straight leg ex...
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Nidal Farhat, Pau Zamora, David Reichert, Vicente Mata, Alvaro Page and Angel Valera
We present and validate a computationally efficient lower limb musculoskeletal model for the control of a rehabilitation robot. It is a parametric model that allows the customization of joint kinematics, and it is able to operate in real time. Methods: S...
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Nataliya Shakhovska and Pavlo Pukach
This paper focuses on different types of backbone networks for machine learning architectures which perform classification of knee Magnetic Resonance Imaging (MRI) images. This paper aims to compare different types of feature extraction networks for the ...
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Angela Brivio, David Barrett, Matthew F. Gong, Annabel Watson, Susie Naybour and Johannes F. Plate
Functional dissatisfaction following total knee replacement (TKR) is recorded as high as 20%. The majority of these patients report anterior knee pain (AKP) as the main source of dissatisfaction. Elevated patellofemoral compression forces and soft tissue...
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Muhammad Yaqub, Feng Jinchao, Shahzad Ahmed, Kaleem Arshid, Muhammad Atif Bilal, Muhammad Pervez Akhter and Muhammad Sultan Zia
Generative adversarial networks (GAN), which are fueled by deep learning, are an efficient technique for image reconstruction using under-sampled MR data. In most cases, the performance of a particular model?s reconstruction must be improved by using a s...
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