Computational modeling

Long-Term Gait-Balance Monitoring Artificial Intelligence System for Various Terrain Types
Long-Term Gait-Balance Monitoring Artificial Intelligence System for Various Terrain Types 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
A long-term gait-balance monitoring system for various terrain types was developed using an inertial measurement unit (IMU) and deep-learning model. The system aims to identify unstable gait caused by lower-limb… read more

An Efficient Framework for Personalizing EMG-Driven Musculoskeletal Models Based on Reinforcement Learning
An Efficient Framework for Personalizing EMG-Driven Musculoskeletal Models Based on Reinforcement Learning 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
This study aimed to develop a novel framework to quickly personalize electromyography (EMG)-driven musculoskeletal models (MMs) as efferent neural interfaces for upper limb prostheses. Our framework adopts a generic upper-limb… read more

MASER: Enhancing EEG Spatial Resolution With State Space Modeling
MASER: Enhancing EEG Spatial Resolution With State Space Modeling 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Consumer-grade Electroencephalography (EEG) devices equipped with few electrodes often suffer from low spatial resolution, hindering the accurate capture of intricate brain activity patterns. To address this issue, we propose MASER,… read more

Neuro-Musculoskeletal Modeling for Online Estimation of Continuous Wrist Movements from Motor Unit Activities
Neuro-Musculoskeletal Modeling for Online Estimation of Continuous Wrist Movements from Motor Unit Activities 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Decoding movement intentions from motor unit (MU) activities remains an ongoing challenge, which restricts our comprehension of the intricate transition mechanism from microscopic neural drive to macroscopic movements. This study… read more

UCLN: Toward the Causal Understanding of Brain Disorders With Temporal Lag Dynamics
UCLN: Toward the Causal Understanding of Brain Disorders With Temporal Lag Dynamics 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Resting-state functional magnetic resonance imaging (rs-fMRI) has emerged as a powerful tool for exploring interactions among brain regions. A growing body of research is actively investigating various computational approaches for… read more

simBCI – A framework for studying BCI methods by simulated EEG
Author(s)3: Jussi T. Lindgren, Adrien Merlini, Anatole Lecuyer, Francesco P. Andriulli
simBCI – A framework for studying BCI methods by simulated EEG 367 281 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Brain-Computer Interface (BCI) methods are commonly studied using Electroencephalogram (EEG) data recorded from human experiments. For understanding and developing BCI signal processing techniques real data is costly to obtain and…

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Comparing Surface and Intramuscular Electromyography for Simultaneous and Proportional Control Based on a Musculoskeletal Model: A Pilot Study

Comparing Surface and Intramuscular Electromyography for Simultaneous and Proportional Control Based on a Musculoskeletal Model: A Pilot Study
Author(s)3: Dustin L. Crouch, Lizhi Pan, William Filer, Jonathan W. Stallings, He Huang
Comparing Surface and Intramuscular Electromyography for Simultaneous and Proportional Control Based on a Musculoskeletal Model: A Pilot Study 502 415 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

     Simultaneous and proportional control (SPC) of neural-machine interfaces uses magnitudes of smoothed electromyograms (EMG) as control inputs. Though surface EMG (sEMG) electrodes are common for clinical neural-machine interfaces, intramuscular…

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