Article
Sport Sciences
Shayne Vial, Jodie Cochrane Wilkie, Mitchell Turner, Mark Scanlan, Anthony J. Blazevich
Summary: Initial acceleration is crucial for success in sprinting, but running-induced fatigue can impair acceleration. However, little is known about the effects of fatigue on acceleration and the associated running technique. In this study, well-trained running athletes were able to maintain acceleration despite changes in running technique, possibly by compensating with increased knee joint function due to greater fatigue in the hip extensor muscles.
SCANDINAVIAN JOURNAL OF MEDICINE & SCIENCE IN SPORTS
(2023)
Article
Chemistry, Multidisciplinary
Paul Farago, Lacrimioara Grama, Monica-Adriana Farago, Sorin Hintea
Summary: The study introduces a wearable monitoring system for the assessment of walking physiology, which aims to objectively evaluate muscle activity during walking by monitoring foot biomechanics. The proposed solution assumes a correlation between plantar pressure and lower-limb muscular activity, and gait physiology is assessed by comparing a gait map to a reference gait template.
APPLIED SCIENCES-BASEL
(2021)
Article
Multidisciplinary Sciences
Takuma Inai, Tomoya Takabayashi
Summary: This study estimates the lower-limb sagittal joint angles during gait from the norms of foot acceleration and angular velocity using machine learning and validates the accuracy of the estimated joint angles with those obtained using a motion capture system.
Article
Multidisciplinary Sciences
Carina Price, Eleonora Montagnani, Christopher Nester, Stewart C. Morrison
Summary: This study compared the loading on infant feet in different walking directions and found differences in centre of pressure and plantar pressure. These differences may be attributed to walking speed or turning experience and should influence future research protocols.
SCIENTIFIC REPORTS
(2023)
Article
Engineering, Electrical & Electronic
Xin Liu, Ning Li, Geng Xu, Yonggang Zhang
Summary: A novel robust step detection algorithm is proposed to deal with false detection caused by different stepping modes and occasional disturbances. The algorithm includes an anti-fault detection algorithm and a zero-velocity detection method to reduce over-detection and miss-detection of steps. Field tests show that the approach is robust across varying motion speeds in different step modes, with an average accuracy of 99.94%, significantly exceeding conventional estimation approaches.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Mechanical
Fuhao Mo, Yuandong Li, Junjie Li, Shuangyuan Zhou, Zurong Yang
Summary: This study established a three-dimensional foot-ankle model and investigated its suitability for analyzing foot-ankle biomechanical responses. Two personalization methods were compared, using magnetic resonance imaging (MRI) and fast optical scan data, respectively, to analyze the dynamic gait responses. The results showed good correlation with subject-specific experimental results, indicating the effectiveness of the model in analyzing subject-specific foot deformation behavior during dynamic gait loading.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2022)
Article
Orthopedics
Renan L. Monteiro, Jane S. S. P. Ferreira, Erica Q. Silva, Ronaldo H. Cruvinel, Jady L. Verissimo, Sicco A. Bus, Isabel C. N. Sacco
Summary: This study aimed to investigate the effects of a foot-ankle therapeutic exercise program on foot-ankle kinematics, plantar pressure, and lower limb kinetics during gait in individuals with diabetic neuropathy. The results showed that after 12 weeks of the exercise program, there were improvements in hip extensor moment at push-off and hallux contact area.
BRAZILIAN JOURNAL OF PHYSICAL THERAPY
(2023)
Article
Sport Sciences
Pieter Van den Berghe, Laurence Warlop, Rud Derie, Marc Leman, Dirk De Clercq, Bastiaan Breine
Summary: This study assessed the behavior of the center of pressure (COP) and its relationship with impact severity during heel-toe running in athletic footwear. The study found that the location of the COP at foot strike is associated with the vertical loading rate and peak tibial accelerations. A more anterior foot strike was associated with higher peak tibial accelerations and greater impact severity.
JOURNAL OF SPORTS SCIENCES
(2022)
Article
Multidisciplinary Sciences
Juan Manuel Franco-Garcia, Miguel Rodal, Rafael Gutierrez-Horrillo, Jorge Carlos-Vivas, Jorge Perez-Gomez, Hadi Nobari, Luca Paolo Ardigo, Konstantinos Gianikellis
Summary: The study revealed asymmetry between both shoulders during phases 2 and 3 of bench press exercise, with acceleration being similar in both phases at all load intensities. Kinematic parameters differed between loads of 55-75% 1RM and 75-100% 1RM.
Article
Multidisciplinary Sciences
Arne Kuederle, Nils Roth, Jovana Zlatanovic, Markus Zrenner, Bjoern Eskofier, Felix Kluge
Summary: Gait analysis using foot-worn inertial measurement units is a reliable tool, but there is limited research on the robustness to sensor position changes. This study compares different sensor positions and attachments, finding significant differences in gait parameters and highlighting the importance of evaluating sensor systems and algorithms for changes in position or attachment.
Article
Biophysics
Lydia G. Brough, Glenn K. Klute, Richard R. Neptune
Summary: This study investigates the biomechanical responses of individuals without mobility impairments to medial and lateral foot-placement perturbations during walking, aiming to assess their impact on dynamic balance.
JOURNAL OF BIOMECHANICS
(2021)
Article
Multidisciplinary Sciences
Juliet McClymont, Russell Savage, Todd C. Pataky, Robin Crompton, James Charles, Karl T. Bates
Summary: The study demonstrates that sample size has a significant impact on the results of plantar pressure analysis. Particularly when the sample size is less than 200 records, there is a considerable increase in data range, potentially leading to qualitative errors. Different regions of plantar pressure also show significant variability in random subsampling.
Article
Sport Sciences
Abdulkerim Darendeli, Hayri Ertan, Roger Maro Enoka
Summary: This study compared the activation levels of lower body muscles during overground running and treadmill running at different grades. The results showed that the activation level of thigh muscles was highest when running on the treadmill at 1% and 2% grades, while the activation level of shank muscles was highest when running at speeds of 2.92 and 4.58 m/s.
MEDICINE & SCIENCE IN SPORTS & EXERCISE
(2023)
Article
Ecology
Alexandra Allen, Manuel Pinheiro, Raf Schoenmaekers, Kristiaan D'Aout, Catherine Willems
Summary: This study evaluated the biomechanics of walking with bespoke, 3D-printed footwear and found that it did not significantly affect peak pressure distribution. However, it did influence the center-of-pressure patterns during gait and led to a significant increase in toe strength. These findings contribute to our understanding of the effects of 3D-printed footwear on foot function and strength.
FRONTIERS IN ECOLOGY AND EVOLUTION
(2023)
Article
Neurosciences
Skylar C. Holmes, Melissa M. Montgomery, Scott K. Lynn, Derek N. Pamukoff
Summary: This study compared the foot progression angle (FPA) between males and females and examined the association between lower extremity kinematics, hip strength, and FPA. The results showed no difference in FPA between sexes, but females had greater hip angles. In males, greater hip abduction strength was associated with greater FPA.
JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY
(2023)
Review
Chemistry, Multidisciplinary
Yuewu Tan, Xuehong Liu, Wei Tang, Jing Chen, Zhengfang Zhu, Lin Li, Nian Zhou, Xiaoyang Kang, Dongliang Xu, Lei Wang, Guixue Wang, Hui Tan, Hui Li
Summary: This paper summarizes various types of flexible pressure sensors with bionic structures developed in recent years. After introducing the latest advancements in flexible pressure sensors, it focuses on substrate and active materials, sensing mechanisms, key parameters, and sensitivity optimization strategies, as well as various bionic microstructures applied to flexible pressure sensors and their performance characterization.
ADVANCED MATERIALS INTERFACES
(2022)
Article
Instruments & Instrumentation
Zhenghua Huang, Xuan Li, Lei Wang, Hao Fang, Lei Ma, Yu Shi, Hanyu Hong
Summary: This paper proposes a spatially adaptive multi-scale image enhancement scheme that can simultaneously consider detail preservation, contrast enhancement, and brightness improvement. By decomposing the image into multi-scale layers, proposing a spatially adaptive Gamma correction strategy, and an adaptive enhancement operator, a high-contrast optical infrared image is obtained.
INFRARED PHYSICS & TECHNOLOGY
(2022)
Article
Chemistry, Physical
Wenrong Yan, Haibo Hu, Lei Wang, Derek Ho
Summary: This paper presents a method utilizing dual laser pyrolysis to improve the defects and morphology of laser-induced graphene electrodes, leading to enhanced electrochemical performance. The study also demonstrates the fabrication of a flexible and self-healable microsupercapacitor based on the improved electrodes.
Article
Engineering, Electrical & Electronic
Jun Cheng, Fuxiang Wu, Yanling Tian, Lei Wang, Dapeng Tao
Summary: Text-to-image synthesis is a challenging task, and this paper proposes a novel generation method called RiFeGAN2 to address this problem. By utilizing a constrained model and attention mechanism to optimize compatible candidate captions, the proposed method aims to improve the quality and semantic consistency of the generated images.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2022)
Article
Automation & Control Systems
Xiaoliang Ma, Jian Yin, Anmin Zhu, Xiaodong Li, Yanan Yu, Lei Wang, Yutao Qi, Zexuan Zhu
Summary: Evolutionary Multitasking (EMT) aims to improve solutions for multiple optimization tasks through intertask knowledge transfer. The widely used implementation paradigm of EMT, Multifactorial Evolutionary Algorithm (MFEA), can benefit from the incorporation of Prior-knowledge-Based Multiobjectivization via Decomposition (MVD) to enhance positive intertask knowledge transfer and improve performance.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Chemistry, Multidisciplinary
Toluwanimi O. Akinyemi, Olatunji M. Omisore, Xingyu Chen, Wenke Duan, Wenjing Du, Guanlin Yi, Lei Wang
Summary: Robot-assisted surgery plays a crucial role in minimally invasive treatments. This study aims to achieve autonomous navigation in robot-assisted cardiac interventions and enhance motion accuracy using recurrent neural networks for control. The results show that neural-based controllers can ensure uniform motion mapping between the master-slave devices and positively contribute to patient safety concerns.
APPLIED SCIENCES-BASEL
(2022)
Article
Automation & Control Systems
Chongjing Cao, Lijin Chen, Thomas L. Hill, Lei Wang, Xing Gao
Summary: This article presents a nonlinear mechanism coupled dielectric elastomer resonator (DER) that broadens the resonant bandwidth and improves the output performance and energy efficiency. The proposed bistable DER demonstrates a broad resonant bandwidth, improves power output and energy efficiency, and explores a nonlinear dynamic phenomenon to enhance the DER's performance at low applied electric field amplitudes.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Computer Science, Artificial Intelligence
Olatunji Mumini Omisore, Toluwanimi Oluwadara Akinyemi, Wenjing Du, Wenke Duan, Rita Orji, Thanh Nho Do, Lei Wang
Summary: This study proposes a weighting-based deep ensemble model for recognizing hand motions in intravascular catheterization. The model extracts features from electromyography data and uses machine learning methods to classify hand gestures. Results show the model achieves high recognition performances and has stable performance across different hand motion classes.
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS
(2023)
Article
Chemistry, Physical
Teodor I. Milenov, Dimitar A. Dimov, Ivalina A. Avramova, Stefan K. Kolev, Dimitar V. Trifonov, Georgi V. Avdeev, Daniela B. Karashanova, Biliana C. Georgieva, Kamen V. Ivanov, Evgenia P. Valcheva
Summary: This study focuses on the evaluation of the influence of chemical treatment on the structure and morphology of carbon phases. The chemical interactions of two types of graphite and carbon black with acetone, toluene, and phenol were studied. Experimental and theoretical methods were used to determine the chemical and phase composition, as well as the morphology and structure. The findings suggest that the treatment of graphite powders and carbon black with acetone, toluene, or phenol can be an effective preliminary stage for their modification and conversion into graphene-like phases.
JOURNAL OF CHEMICAL PHYSICS
(2023)
Article
Computer Science, Artificial Intelligence
Yan Yan, Xuankun Wu, Chengdong Li, Yini He, Zhicheng Zhang, Huihui Li, Ang Li, Lei Wang
Summary: Emotional recognition through exploring EEG characteristics with nonlinear analysis and feature extraction methods has been proposed. The study utilizes phase space reconstruction (PSR) and topological data analysis (TDA) to build emotion feature vectors and achieve high recognition accuracies.
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Toluwanimi Oluwadara Akinyemi, Olatunji Mumini Omisore, Wenjing Du, Wenke Duan, Xing-Yu Chen, Guanlin Yi, Lei Wang
Summary: This study proposes a deep learning-based model for identifying operators' actions in robot-assisted percutaneous coronary intervention (R-PCI) trials. The model achieves a 92%-96% accuracy in identifying five actions across four clusters compared with a recognition performance of 83% when recognizing all six actions.
IEEE SENSORS JOURNAL
(2023)
Article
Computer Science, Artificial Intelligence
Yan Yan, Yi-Chun Huang, Jinjin Zhao, Yu-Shi Liu, Liang Ma, Jing Yang, Xu-Dong Yan, Jing Xiong, Lei Wang
Summary: This work presents a novel approach using topological descriptors of the shape of the dynamical attractor for dynamical system measurements in human physical activity analysis. The proposed framework has three essential advantages: it derives the dynamics descriptor from the observation time series without statistical assumption, describes the phase space topological properties in an intrinsic multiresolution analytical way using topological data analysis, and shows stability in activities state inference with different types of measurement sensing signals. The topological characteristics of the reconstructed phase state space demonstrate strong representational ability for activity type inference in physical activity recognition tasks with wearable sensors.
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Yan Yan, Liang Ma, Yu-Shi Liu, Kamen Ivanov, Jia-Hong Wang, Jing Xiong, Ang Li, Yini He, Lei Wang
Summary: This article proposes a method for recognizing mental workload through topological investigation of brain functional connectivity network. Graph-filtration-based features are extracted using the persistent homology technique to reveal brain state variations. The experimental results demonstrate excellent distinguishing ability of the proposed method in brain state recognition. This work is the first investigation of EEG-based mental workload evaluation using persistent homology analysis.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Engineering, Electrical & Electronic
Lu Gan, Wenke Duan, Toluwanimi Oluwadara Akinyemi, Wenjing Du, Olatunji Mumini Omisore, Lei Wang
Summary: This study proposes a design for a one-dimensional distal force sensor for minimally invasive surgery (MIS) based on the fiber Bragg grating (FBG) sensing principle. The sensor showed good performance in terms of measurement range and accuracy through experiments and theoretical analysis.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)