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References from Machine Learning Methods to Predict Unmeasured Muscle Activation in Upper Limb Reaching Task for Assessing Population-Level Cross-Subject Generalizability. Local targets link to admitted publications; unresolved targets remain external evidence.
An Integrated Model of the Neuromuscular System
2013 · External reference
Surface Electromyography: A Window on the Muscle, a Glimpse on the Central Nervous System
2001 · External reference
Surface Electromyography for Noninvasive Characterization of Muscle
10.1097/00003677-200101000-00005 · 2001 · External reference
A Comparison of Electromyography Techniques: Surface Versus Intramuscular Recording
10.1007/s00421-024-05640-x · 2025 · External reference
Surface EMG in Clinical Assessment and Neurorehabilitation: Barriers Limiting Its Use
10.3389/fneur.2020.00934 · 2020 · External reference
Surface Electromyography: Why, When and How to Use It
2011 · External reference
Interpreting Signal Amplitudes in Surface Electromyography Studies in Sport and Rehabilitation Sciences
10.3389/fphys.2017.00985 · 2018 · External reference
An EMG-Driven Model to Estimate Muscle Forces and Joint Moments in Stroke Patients
10.1016/j.compbiomed.2009.09.002 · 2009 · External reference
Estimation of Muscle Forces and Joint Moments Using a Forward-Inverse Dynamics Model
10.1249/01.mss.0000176684.24008.6f · 2005 · External reference
Feasible Muscle Activation Ranges Based on Inverse Dynamics Analyses of Human Walking
10.1016/j.jbiomech.2015.07.037 · 2015 · External reference
Static Optimization of Muscle Forces During Gait in Comparison to EMG-to-Force Processing Approach
10.1016/j.gaitpost.2006.09.074 · 2007 · External reference
Comparison of Several Muscle Modeling Alternatives for Computationally Intensive Algorithms in Human Motion Dynamics
10.1007/s11044-022-09819-y · 2022 · External reference
Evaluation of Synergy Extrapolation for Predicting Unmeasured Muscle Excitations From Measured Muscle Synergies
10.3389/fncom.2020.588943 · 2020 · External reference
Upper Extremity Muscle Activation Pattern Prediction Through Synergy Extrapolation and Electromyography-Driven Modeling
10.1115/1.4063899 · 2024 · External reference
Comparison of Synergy Extrapolation and Static Optimization for Estimating Multiple Unmeasured Muscle Activations During Walking
10.1186/s12984-024-01490-y · 2024 · External reference
Simultaneous Prediction of Multiple Unmeasured Muscle Activations Through Synergy Extrapolation
10.1115/1.4067520 · 2025 · External reference
Machine Learning Algorithms-A Review
10.21275/art20203995 · 2020 · External reference
Application of Machine Learning Models in Social Sciences: Managing Nonlinear Relationships
10.3390/encyclopedia4040118 · 2024 · External reference
Machine Learning Applied to Weather Forecasting
2016 · External reference
Machine Learning in Finance: A Topic Modeling Approach
10.1111/eufm.12326 · 2022 · External reference
Artificial Intelligence, Machine Learning and Deep Learning in Musculoskeletal Imaging: Current Applications
10.1002/jcu.23321 · 2022 · External reference
InverseMuscleNET: Alternative Machine Learning Solution to Static Optimization and Inverse Muscle Modeling
10.3389/fncom.2021.759489 · 2021 · External reference
Machine Learning-Based Feature Extraction and Classification of EMG Signals for Intuitive Prosthetic Control
10.3390/app14135784 · 2024 · External reference
Comparison of Machine Learning Algorithms for EMG Signal Classification
10.21533/pen.v8.i2.1140 · 2020 · External reference
Muscle Force Estimation From Lower Limb EMG Signals Using Novel Optimised Machine Learning Techniques
10.1007/s11517-021-02466-z · 2022 · External reference
Shoulder Muscle Activation Pattern Recognition Based on sEMG and Machine Learning Algorithms
10.1016/j.cmpb.2020.105721 · 2020 · External reference
Machine Learning for Rapid Estimation of Lower Extremity Muscle and Joint Loading During Activities of Daily Living
10.1016/j.jbiomech.2021.110439 · 2021 · External reference
A Comparison of Machine Learning Models' Accuracy in Predicting Lower-Limb Joints' Kinematics, Kinetics, and Muscle Forces From Wearable Sensors
10.1038/s41598-023-31906-z · 2023 · External reference
Physics-Informed Deep Learning for Musculoskeletal Modeling: Predicting Muscle Forces and Joint Kinematics From Surface EMG
10.1109/tnsre.2022.3226860 · 2023 · External reference
Review of Deep Learning: Concepts, CNN Architectures, Challenges, Applications, Future Directions
10.1186/s40537-021-00444-8 · 2021 · External reference
Long Short-Term Memory (LSTM) Recurrent Neural Network for Muscle Activity Detection
10.1186/s12984-021-00945-w · 2021 · External reference
Body Mass Index Measurement in Schools
10.1111/j.1746-1561.2007.00249.x · 2007 · External reference
Upper-Limb Electromyogram Classification of Reaching-to-Grasping Tasks Based on Convolutional Neural Networks for Control of a Prosthetic Hand
10.3389/fnins.2021.733359 · 2021 · External reference
Standards for Surface Electromyography: The European Project Surface EMG for Non-Invasive Assessment of Muscles (SENIAM)
2007 · External reference
On the Need for Rectification of Surface EMG
10.1152/jn.00222.2010 · 2010 · External reference
Machine Learning Full 3-D Lower-Body Kinematics and Kinetics on Patients With Osteoarthritis From Electromyography
10.1016/j.bea.2023.100088 · 2023 · External reference
Comparative Review of the Algorithms for Removal of Electrocardiographic Interference From Trunk Electromyography
10.3390/s20174890 · 2020 · External reference
The Importance of Normalization in the Interpretation of Surface Electromyography: A Proof of Principle
10.1016/s0161-4754(99)70032-1 · 1999 · External reference
Normalization of EMG Signals: To Normalize or Not to Normalize and What to Normalize to
2012 · External reference
EMG-Driven Musculoskeletal Model Calibration With Estimation of Unmeasured Muscle Excitations Via Synergy Extrapolation
10.3389/fbioe.2022.962959 · 2022 · External reference
Evaluation of Three Machine Learning Algorithms for the Automatic Classification of EMG Patterns in Gait Disorders
10.3389/fneur.2021.666458 · 2021 · External reference
Unresolved reference
2020 · External reference
Feature Selection in Machine Learning: A New Perspective
10.1016/j.neucom.2017.11.077 · 2018 · External reference
A Comprehensive Survey on Feature Selection in the Various Fields of Machine Learning
10.1007/s10489-021-02550-9 · 2022 · External reference
Learning Activation Functions to Improve Deep Neural Networks
2014 · External reference
RINAS: Training With Dataset Shuffling Can Be General and Fast
2023 · External reference
Effect of Learning Rate on Artificial Neural Network in Machine Learning
2015 · External reference
Reproducibility in Machine-Learning-Based Research: Overview, Barriers, and Drivers
2025 · External reference
Improved Adam Optimizer for Deep Neural Networks
2018 · External reference
The Role of Neural Network Activation Functions
10.1109/lsp.2020.3027517 · 2020 · External reference
An Introduction to Convolutional Neural Networks
2015 · External reference
Rethinking 1d-Cnn for Time Series Classification: A Stronger Baseline
2020 · External reference
Activation Functions in Neural Networks
2020 · External reference
Deep Learning: RNNs and LSTM
2020 · External reference
Dropout: A Simple Way to Prevent Neural Networks From Overfitting
2014 · External reference
CNN-LSTM and Post-Processing for EMG-Based Hand Gesture Recognition
10.1016/j.iswa.2024.200352 · 2024 · External reference
Accuracy of Ground Reaction Force and Muscle Activation Prediction in a Child-Adapted Musculoskeletal Model
10.3390/s22207825 · 2022 · External reference
Root-Mean-Square Error (RMSE) or Mean Absolute Error (MAE): When to Use Them or Not
10.5194/gmd-15-5481-2022 · 2022 · External reference
Pearson's Correlation Coefficient
10.1136/bmj.e4483 · 2012 · External reference
Estimation of Muscle Forces of Lower Limbs Based on CNN–LSTM Neural Network and Wearable Sensor System
10.3390/s24031032 · 2024 · External reference
A CNN-LSTM Hybrid Model for Wrist Kinematics Estimation Using Surface Electromyography
2021 · External reference
Comparative Analysis of Convolutional Neural Network-Long Short-Term Memory, Sparrow Search Algorithm-Backpropagation Neural Network, and Particle Swarm Optimization-Extreme Learning Machine Models for the Water Discharge of the Buzău River, Romania
10.3390/w16020289 · 2024 · External reference
Moment Arms of the Muscles Crossing the Anatomical Shoulder
10.1111/j.1469-7580.2008.00965.x · 2008 · External reference
Kinetics of Baseball Pitching With Implications About Injury Mechanisms
10.1177/036354659502300218 · 1995 · External reference
Effect of Excessive Neural Network Layers on Overfitting
10.30574/wjarr.2022.16.2.1247 · 2022 · External reference
Exploring the Ideal Depth of Neural Network When Predicting Question Deletion on Community Question Answering
2019 · External reference
Estimation of Elbow Flexion Torque From Anthropometric and NMES MMG Variables Using Random Forest Regression
10.1038/s41598-024-81504-w · 2025 · External reference
Investigation of the EMG-Time Relationship of the Biceps Brachii Muscle During Contractions
10.1589/jpts.27.39 · 2015 · External reference
The Impact of Normalization Procedures on Surface Electromyography (sEMG) Data Integrity: A Study of Bicep and Tricep Muscle Signal Analysis
10.3390/s25092668 · 2025 · External reference
Why Bigger Training Sets Must Yield Diminishing Returns: An Information-Theoretic Speed Limit for AI
2025 · External reference
Deep Learning Scaling is Predictable, Empirically
2017 · External reference
