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View article: An open-source, externally validated neural network algorithm to recognize daily-life gait of older adults based on a lower-back sensor
An open-source, externally validated neural network algorithm to recognize daily-life gait of older adults based on a lower-back sensor Open
Gait recognition is critical for daily-life fall risk assessment and rehabilitation monitoring, but existing models face many challenges that limit their use in daily life for older adults. We aimed to develop an open-source gait recogniti…
View article: The effects of RYSEN-induced supportive, propelling and impeding forces on step parameters and muscular control in walking after stroke
The effects of RYSEN-induced supportive, propelling and impeding forces on step parameters and muscular control in walking after stroke Open
Background Body weight support (BWS) devices are increasingly used for gait training after stroke. The RYSEN not only allows for vertical BWS but also for the addition of mediolateral and anteroposterior forces. To assess to what extent th…
View article: The effects of RYSEN-induced supportive, propelling and impeding forces on step parameters and muscular control in walking after stroke
The effects of RYSEN-induced supportive, propelling and impeding forces on step parameters and muscular control in walking after stroke Open
Background Body weight support (BWS) devices are increasingly used for gait training after stroke. The RYSEN not only allows for vertical BWS but also for the addition of mediolateral and anteroposterior forces. To assess to what extent th…
View article: Can the tumble turn performance be improved by aligning the push-off force vector to the centre of mass trajectory?
Can the tumble turn performance be improved by aligning the push-off force vector to the centre of mass trajectory? Open
The freestyle tumble turn is a critical element of competitive swimming, because an effective push-off from the wall combined with proper body alignment may contribute significantly to overall performance. Previous analyses have focused on…
View article: An open-source, externally validated neural network algorithm to recognize daily-life gait of older adults based on the lower-back sensor
An open-source, externally validated neural network algorithm to recognize daily-life gait of older adults based on the lower-back sensor Open
Background Accurate gait recognition from daily physical activities is a critical first step for further fall risk assessment and rehabilitation monitoring based on inertial sensors. However, most openly available models are based on healt…
View article: A novel approach to identify the fingerprint of stroke gait using deep unsupervised learning
A novel approach to identify the fingerprint of stroke gait using deep unsupervised learning Open
Background The gait pattern results from a complex interaction of several body parts, orchestrated by the (central) nervous system that controls the active and passive systems of the body. An impairment of gait due to a stroke results in a…
View article: Exploring unsupervised feature extraction of IMU-based gait data in stroke rehabilitation using a variational autoencoder
Exploring unsupervised feature extraction of IMU-based gait data in stroke rehabilitation using a variational autoencoder Open
Background Variational AutoEncoders (VAE) might be utilized to extract relevant information from an IMU-based gait measurement by reducing the sensor data to a low-dimensional representation. The present study explored whether VAEs can red…
View article: Editorial: Women in Biomechanics and Control of Human Movement: 2022–2023
Editorial: Women in Biomechanics and Control of Human Movement: 2022–2023 Open
Diversity drives creativity and innovation. STEM fields, including those of biomechanics and motor control, are perceived as male-dominant domains (1). This perception is supported by the fact that men currently make up 73% of the STEM-ski…
View article: Characterization of movement patterns using unsupervised learning neural networks: Exploring a novel approach for monitoring athletes during sidestepping
Characterization of movement patterns using unsupervised learning neural networks: Exploring a novel approach for monitoring athletes during sidestepping Open
The monitoring of athletes is crucial to preventing injuries, identifying fatigue or supporting return-to-play decisions. The purpose of this study was to explore the ability of Kohonen neural network self-organizing maps (SOM) to objectiv…
View article: Exploring of a novel monitoring tool for injury risk when sidestepping: Using unsupervised learning to characterize movement patterns
Exploring of a novel monitoring tool for injury risk when sidestepping: Using unsupervised learning to characterize movement patterns Open
The monitoring of athletes is crucial to prevent injuries, identify fatigue or support return-to-play decisions. The purpose of this study was to explore the ability of Kohonen neural network self-organizing maps (SOM) to objectively visua…
View article: Implications of the choice of distance-based measures in assessing and investigating tumble turn performance
Implications of the choice of distance-based measures in assessing and investigating tumble turn performance Open
Although the tumble turn in swimming has been studied extensively, no consensus exists about which measure is best suited to capture its performance. The aim of this study was to better understand the implications of choosing a particular …
View article: Breaking new grounds in injury risk screening in soccer by deploying unsupervised learning with a special focus on sex and fatigue effects
Breaking new grounds in injury risk screening in soccer by deploying unsupervised learning with a special focus on sex and fatigue effects Open
In injury prevention, a vertical drop jump (DJ) is often used for screening athletes at risk for injury; however, the large variation in individual movement patterns might mask potentially relevant strategies when analysed on a group-based…
View article: Improving tumble turn performance in swimming—the impact of wall contact time and tuck index
Improving tumble turn performance in swimming—the impact of wall contact time and tuck index Open
Race time can be shortened by improving turn performance in competitive swimming, but this requires insight into the optimal turn technique. The aim of the present study was to examine the effect of Wall Contact Time (WCT) and Tuck Index o…
View article: Control strategies during fast turning manoeuvers - the free moment and its contribution to body rotation and joint loading
Control strategies during fast turning manoeuvers - the free moment and its contribution to body rotation and joint loading Open
The purpose of this study was to identify the relationship between ACL relevant knee joint loading and the free (reaction) moment during 90° sidestepping task. It was hypothesized that the specific movement strategy of an athlete will impa…
View article: Fatigue Induced by Repeated Changes of Direction in Élite Female Football (Soccer) Players: Impact on Lower Limb Biomechanics and Implications for ACL Injury Prevention
Fatigue Induced by Repeated Changes of Direction in Élite Female Football (Soccer) Players: Impact on Lower Limb Biomechanics and Implications for ACL Injury Prevention Open
Background The etiology of Anterior Cruciate Ligament (ACL) injury in women football results from the interaction of several extrinsic and intrinsic risk factors. Extrinsic factors change dynamically, also due to fatigue. However, existing…
View article: Artificial Neural Networks in Motion Analysis—Applications of Unsupervised and Heuristic Feature Selection Techniques
Artificial Neural Networks in Motion Analysis—Applications of Unsupervised and Heuristic Feature Selection Techniques Open
The use of machine learning to estimate joint angles from inertial sensors is a promising approach to in-field motion analysis. In this context, the simplification of the measurements by using a small number of sensors is of great interest…
View article: Estimation of Gait Mechanics Based on Simulated and Measured IMU Data Using an Artificial Neural Network
Estimation of Gait Mechanics Based on Simulated and Measured IMU Data Using an Artificial Neural Network Open
Enhancement of activity is one major topic related to the aging society. Therefore, it is necessary to understand people's motion and identify possible risk factors during activity. Technology can be used to monitor motion patterns during …
View article: Is cocontraction a potential cause of tibial internal rotation restriction in patients with knee endoprostheses?
Is cocontraction a potential cause of tibial internal rotation restriction in patients with knee endoprostheses? Open
Aims and Objectives: The ischiocrural muscles play an important role in the rotation of the tibia. The main objective of the study was to examine the extent to which an increased cocontraction of the SEMITEN and BIZFEM in patients with bic…
View article: Influence of friction on knee internal rotation in patients with knee arthroplasties during activities of daily living
Influence of friction on knee internal rotation in patients with knee arthroplasties during activities of daily living Open
Aims and Objectives: In recent decades, knee arthroplasty (KA) succeeded to improve patients’ clinical scores and gait patterns [1]. However, to date, studies primary focused on biomechanical analysis of level walking with total knee arthr…
View article: Compromised knee internal rotation in total knee arthroplasty patients during stair climbing
Compromised knee internal rotation in total knee arthroplasty patients during stair climbing Open
Due to the significant role of rotational properties for normal knee function, this study aimed to investigate transverse plane kinematics and kinetics in total knee arthroplasty and unicondylar knee arthroplasty patients during activities…
View article: Non-Sagittal Knee Joint Kinematics and Kinetics during Gait on Level and Sloped Grounds with Unicompartmental and Total Knee Arthroplasty Patients
Non-Sagittal Knee Joint Kinematics and Kinetics during Gait on Level and Sloped Grounds with Unicompartmental and Total Knee Arthroplasty Patients Open
After knee arthroplasty (KA) surgery, patients experience abnormal kinematics and kinetics during numerous activities of daily living. Biomechanical investigations have focused primarily on level walking, whereas walking on sloped surfaces…
View article: Musculoskeletal modelling under an evolutionary perspective: deciphering the role of single muscle regions in closely related insects
Musculoskeletal modelling under an evolutionary perspective: deciphering the role of single muscle regions in closely related insects Open
Insects show a remarkable diversity of muscle configurations, yet the factors leading to this functional diversity are poorly understood. Here, we use musculoskeletal modelling to understand the spatio-temporal activity of an insect muscle…
View article: Musculoskeletal modeling of the dragonfly mandible system as an aid to understanding the role of single muscles in an evolutionary context
Musculoskeletal modeling of the dragonfly mandible system as an aid to understanding the role of single muscles in an evolutionary context Open
Insects show a high variety of mouthpart and muscle configurations, however, their mouthpart kinematics and muscle activation patterns are known fragmentary. Understanding the role of muscle groups during movement and comparing them betwee…