Deep learning approach for prediction of impact peak appearance at ground reaction force signal of running activity

Predicting Athlete Ground Reaction Forces and Moments from Spatio-temporal Driven CNN Models

(2018) William Robert Johnson et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Predicting athlete ground reaction forces and moments from motion capture

(2018) William R. Johnson et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Sensor-Based Gait Parameter Extraction With Deep Convolutional Neural Networks

(2017) Julius Hannink et al.   IEEE Journal of Biomedical and Health Informatics

Do runners who suffer injuries have higher vertical ground reaction forces than those who remain injury-free? A systematic review and meta-analysis

(2016) Henk van der Worp et al.   BRITISH JOURNAL OF SPORTS MEDICINE

Dynamically adjustable foot-ground contact model to estimate ground reaction force during walking and running

(2016) Yihwan Jung et al.   GAIT & POSTURE

A general relationship links gait mechanics and running ground reaction forces

(2016) Kenneth P. Clark et al.   JOURNAL OF EXPERIMENTAL BIOLOGY

Greater vertical impact loading in female runners with medically diagnosed injuries: a prospective investigation

(2015) Irene S Davis et al.   BRITISH JOURNAL OF SPORTS MEDICINE

Exploiting multi-channels deep convolutional neural networks for multivariate time series classification

(2015) Yi Zheng et al.   Frontiers of Computer Science

Prediction of ground reaction forces and moments during various activities of daily living

(2014) R. Fluit et al.   JOURNAL OF BIOMECHANICS

A new training algorithm using artificial neural networks to classify gender-specific dynamic gait patterns

(2013) Andre Andrade et al.   COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING

Prediction of ground reaction forces during gait based on kinematics and a neural network model

(2013) Seung Eel Oh et al.   JOURNAL OF BIOMECHANICS

Forefoot Strikers Exhibit Lower Running-Induced Knee Loading than Rearfoot Strikers

(2013) JUHA-PEKKA KULMALA et al.   MEDICINE AND SCIENCE IN SPORTS AND EXERCISE

Type of sport is related to injury profile: A study on cross country skiers, swimmers, long-distance runners and soccer players. A retrospective 12-month study

(2010) L. Ristolainen et al.   SCANDINAVIAN JOURNAL OF MEDICINE & SCIENCE IN SPORTS

Reduction, classification and ranking of motion analysis data: an application to osteoarthritic and normal knee function data

(2007) Lianne Jones et al.   COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING