Decoding muscle force from individual motor unit activities using a twitch force model and hybrid neural networks
A deep learning method involving hybrid neural networks incorporated with a physiological
twitch force model is presented for decoding muscle force from individual motor unit (MU) …
twitch force model is presented for decoding muscle force from individual motor unit (MU) …
The effect of motor imagery on quality of movement when performing reaching tasks in healthy subjects: A proof of concept
B Kolářová, J Richards, H Haltmar, K Lippertová… - Journal of bodywork and …, 2022 - Elsevier
Introduction The use of motor imagery (MI) has been shown to offer significant improvements
in movement performance in sports, and is now receiving a lot of attention as a relatively …
in movement performance in sports, and is now receiving a lot of attention as a relatively …
[HTML][HTML] Are the forearm muscles excited equally in different, professional piano players?
A Thio-Pera, M De Carlo, A Manzoni, F D'Elia… - Plos one, 2022 - journals.plos.org
Background and objectives Professional pianists tend to develop playing-related
musculoskeletal disorders mostly in the forearm. These injuries are often due to overuse …
musculoskeletal disorders mostly in the forearm. These injuries are often due to overuse …
[HTML][HTML] Characteristics of EEG power spectra involved in the proficiency of motor learning
H Hamada, W Wen, T Kawasaki, A Yamashita… - Frontiers in …, 2023 - frontiersin.org
Neuromodulation techniques for modulating brain activity can affect performance in a variety
of behaviors. Techniques including transcranial alternating current stimulation and random …
of behaviors. Techniques including transcranial alternating current stimulation and random …
Motor Imagery of Finger Movements: Effects on Cortical and Muscle activities
P Sengupta, K Lakshminarayanan - Behavioural Brain Research, 2024 - Elsevier
Purpose The purpose of the current study was to explore the immediate effect of motor
imagery (MI) involving finger movement of a given limb on cortical response and muscle …
imagery (MI) involving finger movement of a given limb on cortical response and muscle …
[HTML][HTML] A Deep Multi-Task Learning Approach for Bioelectrical Signal Analysis
Deep learning is a promising technique for bioelectrical signal analysis, as it can
automatically discover hidden features from raw data without substantial domain knowledge …
automatically discover hidden features from raw data without substantial domain knowledge …
The effect of simultaneous and alternate action observation and motor imagery combinations on the learning of badminton short serve in children
M Mohammadifard… - International Journal of …, 2023 - Taylor & Francis
This study aimed to determine the effect of different combinations of action observation and
motor imagery on the learning of badminton short serve (BSS) in typically developed …
motor imagery on the learning of badminton short serve (BSS) in typically developed …
[HTML][HTML] Effects of force modulation on large muscles during human cycling
Voluntary force modulation is defined as the ability to tune the application of force during
motion. However, the mechanisms behind this modulation are not yet fully understood. In …
motion. However, the mechanisms behind this modulation are not yet fully understood. In …