E-textiles for sports and fitness sensing: current state, challenges, and future opportunities

K Yang, SA McErlain-Naylor, B Isaia, A Callaway… - Sensors, 2024 - mdpi.com
E-textiles have emerged as a fast-growing area in wearable technology for sports and
fitness due to the soft and comfortable nature of textile materials and the capability for smart …

Functional Data Analysis: An Introduction and Recent Developments

J Gertheiss, D Rügamer, BXW Liew… - arXiv preprint arXiv …, 2023 - arxiv.org
Functional data analysis (FDA) is a statistical framework that allows for the analysis of
curves, images, or functions on higher dimensional domains. The goals of FDA, such as …

Smooth and accurate predictions of joint contact force time-series in gait using over parameterised deep neural networks

BXW Liew, D Rügamer, Q Mei, Z Altai, X Zhu… - … in Bioengineering and …, 2023 - frontiersin.org
Alterations in joint contact forces (JCFs) are thought to be important mechanisms for the
onset and progression of many musculoskeletal and orthopaedic pain disorders …

Integrating an LSTM framework for predicting ankle joint biomechanics during gait using inertial sensors

L Xiang, Y Gu, Z Gao, P Yu, V Shim, A Wang… - Computers in Biology …, 2024 - Elsevier
The ankle joint plays a crucial role in gait, facilitating the articulation of the lower limb,
maintaining foot-ground contact, balancing the body, and transmitting the center of gravity …

[HTML][HTML] Strategies to optimise machine learning classification performance when using biomechanical features

BXW Liew, F Pfisterer, D Rügamer, X Zhai - Journal of Biomechanics, 2024 - Elsevier
Building prediction models using biomechanical features is challenging because such
models may require large sample sizes. However, collecting biomechanical data on large …

Predicting the internal knee abduction impulse during walking using deep learning

I Boukhennoufa, Z Altai, X Zhai, V Utti… - … in Bioengineering and …, 2022 - frontiersin.org
Knee joint moments are commonly calculated to provide an indirect measure of knee joint
loads. A shortcoming of inverse dynamics approaches is that the process of collecting and …

Monocular 3D Human Pose Markerless Systems for Gait Assessment

X Zhu, I Boukhennoufa, B Liew, C Gao, W Yu… - Bioengineering, 2023 - mdpi.com
Gait analysis plays an important role in the fields of healthcare and sports sciences.
Conventional gait analysis relies on costly equipment such as optical motion capture …

Performance of multiple neural networks in predicting lower limb joint moments using wearable sensors

Z Altai, I Boukhennoufa, X Zhai, A Phillips… - … in Bioengineering and …, 2023 - frontiersin.org
Joint moment measurements represent an objective biomechemical parameter in joint
health assessment. Inverse dynamics based on 3D motion capture data is the current'gold …

[图书][B] Understanding Internal Biomechanical Loads During Running Using Wearable Sensors

JJ Davis IV - 2023 - search.proquest.com
Running generates high-magnitude internal forces that cause lower-body tissue damage.
Understanding these internal forces is a key part of treating and preventing running injuries …

Motion Analysis in Neurological Rehabilitation: From the Lab to the Clinic

R Baptista, B Liew, S Pizzocaro, X Zhai… - … : Brain, Behavior and …, 2024 - Springer
Human motion analysis and biomechanics are fundamental in a clinical environment, and
together, they provide relevant and precise information towards diagnosing numerous …