Intelligent prediction of kinetic parameters during cutting manoeuvres
Due to its capabilities in analysing injury risk, the ability to analyse an athlete's ground
reaction force and joint moments is of high interest in sports biomechanics. However, using …
reaction force and joint moments is of high interest in sports biomechanics. However, using …
[PDF][PDF] Prediction of joint kinetics based on joint kinematics using neural networks
A FICTITIOUS STUDY ON HOW TO HAVE YOUR ISBS 200X PAPER ACCEPTED Page 1 1
PREDICTION OF JOINT KINETICS BASED ON JOINT KINEMATICS USING NEURAL …
PREDICTION OF JOINT KINETICS BASED ON JOINT KINEMATICS USING NEURAL …
Technique determinants of knee joint loads during cutting in female soccer players
The aim of this study was to investigate the relationships between technique characteristics
and knee abduction moments during 90° cuts. A cross sectional design involving 26 elite …
and knee abduction moments during 90° cuts. A cross sectional design involving 26 elite …
Use of machine learning and wearable sensors to predict energetics and kinematics of cutting maneuvers
Changes of directions and cutting maneuvers, including 180-degree turns, are common
locomotor actions in team sports, implying high mechanical load. While the mechanics and …
locomotor actions in team sports, implying high mechanical load. While the mechanics and …
Effect of rearfoot strikes on the hip and knee rotational kinetic chain during the early phase of cutting in female athletes
Background Biomechanical factors affecting horizontal-plane hip and knee kinetic chain and
anterior cruciate ligament (ACL) injury risk during cutting maneuvers remain unclear. This …
anterior cruciate ligament (ACL) injury risk during cutting maneuvers remain unclear. This …
[PDF][PDF] Impact of knee modeling approach on indicators and classification of ACL injury risk
MA Robinson, CJ Donnelly, J Tsao… - Med Sci Sports …, 2013 - academia.edu
Introduction: The aim of this study was to determine if using a direct kinematic (DK) or
inverse kinematic (IK) modelling approach could influence the estimation of knee joint …
inverse kinematic (IK) modelling approach could influence the estimation of knee joint …
Predicting net joint moments during a weightlifting exercise with a neural network model
K Kipp, M Giordanelli, C Geiser - Journal of Biomechanics, 2018 - Elsevier
The purpose of this study was to develop and train a Neural Network (NN) that uses barbell
mass and motions to predict hip, knee, and ankle Net Joint Moments (NJM) during a …
mass and motions to predict hip, knee, and ankle Net Joint Moments (NJM) during a …
Lower extremity joint torque predicted by using artificial neural network during vertical jump
Y Liu, SM Shih, SL Tian, YJ Zhong, L Li - Journal of biomechanics, 2009 - Elsevier
The purpose of this study was to develop an artificial neural network (ANN) for predicting
lower extremity joint torques using the ground reaction force (GRF) and related parameters …
lower extremity joint torques using the ground reaction force (GRF) and related parameters …
Application of Machine Learning Methods to Investigate Joint Load in Agility on the Football Field: Creating the Model, Part I
A Benjaminse, EM Nijmeijer, A Gokeler, S Di Paolo - Sensors, 2024 - mdpi.com
Laboratory studies have limitations in screening for anterior cruciate ligament (ACL) injury
risk due to their lack of ecological validity. Machine learning (ML) methods coupled with …
risk due to their lack of ecological validity. Machine learning (ML) methods coupled with …
Influence of side uncertainty on knee kinematics of female handball athletes during sidestep cutting maneuvers
Noncontact anterior cruciate ligament ruptures generally occur during unanticipated
sidestep cutting maneuvers when athletes have their visual attention focused on the …
sidestep cutting maneuvers when athletes have their visual attention focused on the …