Linking cortex and contraction—Integrating models along the corticomuscular pathway

L Haggie, L Schmid, O Röhrle, T Besier… - Frontiers in …, 2023 - frontiersin.org
Computational models of the neuromusculoskeletal system provide a deterministic
approach to investigate input-output relationships in the human motor system …

Towards Ultrasound Imaging-based Closed-loop Peripheral Nerve Stimulation for Tremor Suppression

N Sharma, X Xue, A Iyer, X Jiang, D Roque - Current Opinion in Biomedical …, 2023 - Elsevier
Despite several decades of research investigating the use of peripheral electrical stimulation
(ES) for tremor suppression in an upper limb, ES design for effective tremor suppression …

Understanding upper-limb movements via neurocomputational models of the sensorimotor system and neurorobotics: where we stand

A Parziale, A Marcelli - Artificial Intelligence Review, 2024 - Springer
Roboticists and neuroscientists are interested in understanding and reproducing the neural
and cognitive mechanisms behind the human ability to interact with unknown and changing …

Investigating one-class classifiers to diagnose Alzheimer's disease from handwriting

A Parziale, A Della Cioppa, A Marcelli - International Conference on Image …, 2022 - Springer
The analysis of handwriting and drawing has been adopted since the early studies to help
diagnose neurodegenerative diseases, such as Alzheimer's and Parkinson's. Departing …

[Retracted] Recognition of Volleyball Player's Arm Motion Trajectory and Muscle Injury Mechanism Analysis Based upon Neural Network Model

J Zhao, Z Li - Journal of Healthcare Engineering, 2022 - Wiley Online Library
At present, in sports training for volleyball, it still mainly depends on the personal experience
of the coach. Training costs are high, and the quality is difficult to maintain stable. Even with …

A biologically inspired approach for recovering the trajectory of offline handwriting

R Senatore, A Santoro, A Parziale, A Marcelli - Memetic Computing, 2023 - Springer
Reconstructing the trajectory from the static image of handwritten ink traces is useful in many
practical applications envisaging handwriting analysis and recognition from offline data, as it …

Analysis of control characteristics between dominant and non-dominant hands by transient responses of circular tracking movements in 3D virtual reality space

W Park, W Choi, H Jo, G Lee, J Kim - Sensors, 2020 - mdpi.com
Human movement is a controlled result of the sensory-motor system, and the motor control
mechanism has been studied through diverse movements. The present study examined …

Introducing the RSNA-VR and the RSNA-DE Algorithms for Diagnosing Alzheimer's Disease

A Della Cioppa, A Marcelli… - 2024 IEEE Congress on …, 2024 - ieeexplore.ieee.org
Alzheimer's disease is a common neurodegenerative disease that affects millions of people
worldwide, with the number expected to rise in the future. As a consequence, early …

A Hand Motor Skills Rehabilitation for the Injured Implemented on a Social Robot

F Gomez-Donoso, F Escalona, N Nasri, M Cazorla - Applied Sciences, 2021 - mdpi.com
Featured Application The system described in this work is intended to be applied to hand
motor skill rehabilitation and recovery. Abstract In this work, we introduce HaReS, a hand …

Negative selection algorithm for alzheimer's diagnosis: Design and performance evaluation

G De Gregorio, A Della Cioppa, A Marcelli - International Conference on …, 2022 - Springer
We present a method for discriminating between healthy subjects and Alzheimer's diseases
patients from on-line handwriting. Departing from the current state of the art methods, that …