Related references
Note: Only part of the references are listed.EMG-Based Estimation of Limb Movement Using Deep Learning With Recurrent Convolutional Neural Networks
Peng Xia et al.
ARTIFICIAL ORGANS (2018)
Toward Marker-free 3D Pose Estimation in Lifting: A Deep Multi-view Solution
Rahil Mehrizi et al.
PROCEEDINGS 2018 13TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE & GESTURE RECOGNITION (FG 2018) (2018)
Biofeedback for Gait Retraining Based on Real-Time Estimation of Tibiofemoral Joint Contact Forces
Claudio Pizzolato et al.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2017)
Knee osteoarthritis has doubled in prevalence since the mid-20th century
Ian J. Wallace et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2017)
Reliability and Minimal Detectable Change Values for Predictions of Knee Forces during Gait and Stair Ascent Derived from the FreeBody Musculoskeletal Model of the Lower Limb
Phil D. B. Price et al.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY (2017)
Predicting knee osteoarthritis risk in injured populations
Michael J. Long et al.
CLINICAL BIOMECHANICS (2017)
In Vivo Knee Contact Force Prediction Using Patient-Specific Musculoskeletal Geometry in a Segment-Based Computational Model
Ziyun Ding et al.
JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME (2016)
Toward an Integration of Deep Learning and Neuroscience
Adam H. Marblestone et al.
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE (2016)
Surrogate modeling of deformable joint contact using artificial neural networks
Ilan Eskinazi et al.
MEDICAL ENGINEERING & PHYSICS (2015)
A real-time topography of maximum contact pressure distribution at medial tibiofemoral knee implant during gait: Application to knee rehabilitation
Marzieh M. Ardestani et al.
NEUROCOMPUTING (2015)
The development of a segment-based musculoskeletal model of the lower limb: introducing FREEBODY
Daniel J. Cleather et al.
ROYAL SOCIETY OPEN SCIENCE (2015)
Modulation of the Relationship Between External Knee Adduction Moments and Medial Joint Contact Forces Across Subjects and Activities
Adam Trepczynski et al.
ARTHRITIS & RHEUMATOLOGY (2014)
Update on Grand Challenge Competition to Predict in Vivo Knee Loads
Allison L. Kinney et al.
JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME (2013)
Subject-specific knee joint geometry improves predictions of medial tibiofemoral contact forces
Pauline Gerus et al.
JOURNAL OF BIOMECHANICS (2013)
Self in motion: sensorimotor and cognitive mechanisms in gait agency
O. A. Kannape et al.
JOURNAL OF NEUROPHYSIOLOGY (2013)
A real-time system for biomechanical analysis of human movement and muscle function
Antonie J. van den Bogert et al.
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING (2013)
Deep Neural Networks for Acoustic Modeling in Speech Recognition
Geoffrey Hinton et al.
IEEE SIGNAL PROCESSING MAGAZINE (2012)
Real-Time Knee Adduction Moment Feedback for Gait Retraining Through Visual and Tactile Displays
Jason W. Wheeler et al.
JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME (2011)
An open source lower limb model: Hip joint validation
L. Modenese et al.
JOURNAL OF BIOMECHANICS (2011)
Evaluation of Predicted Knee-Joint Muscle Forces during Gait Using an Instrumented Knee Implant
Hyung J. Kim et al.
JOURNAL OF ORTHOPAEDIC RESEARCH (2009)
Emergence of Functional Hierarchy in a Multiple Timescale Neural Network Model: A Humanoid Robot Experiment
Yuichi Yamashita et al.
PLOS COMPUTATIONAL BIOLOGY (2008)
Techniques of EMG signal analysis: detection, processing, classification and applications
MBI Reaz et al.
BIOLOGICAL PROCEDURES ONLINE (2006)
Dynamic load at baseline can predict radiographic disease progression in medial compartment knee osteoarthritis
T Miyazaki et al.
ANNALS OF THE RHEUMATIC DISEASES (2002)
Vertical jump coordination: fatigue effects
ALF Rodacki et al.
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE (2002)
Dynamic optimization of human walking
FC Anderson et al.
JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME (2001)
Interior-point methods
FA Potra et al.
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS (2000)
Share Paper
