Ultrasound imaging to assess skeletal muscle architecture during movements: a systematic review of methods, reliability, and challenges

B Van Hooren, P Teratsias… - Journal of Applied …, 2020 - journals.physiology.org
B-mode ultrasound is often used to quantify muscle architecture during movements. Our
objectives were to 1) systematically review the reliability of fascicle length (FL) and …

Ultrasound imaging links soleus muscle neuromechanics and energetics during human walking with elastic ankle exoskeletons

RW Nuckols, TJM Dick, ON Beck, GS Sawicki - Scientific reports, 2020 - nature.com
Unpowered exoskeletons with springs in parallel to human plantar flexor muscle-tendons
can reduce the metabolic cost of walking. We used ultrasound imaging to look 'under the …

A dual-modal approach using electromyography and sonomyography improves prediction of dynamic ankle movement: A case study

Q Zhang, A Iyer, Z Sun, K Kim… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
For decades, surface electromyography (sEMG) has been a popular non-invasive bio-
sensing technology for predicting human joint motion. However, cross-talk, interference from …

Neurocardiac regulation: from cardiac mechanisms to novel therapeutic approaches

EN Bardsley, DJ Paterson - The Journal of Physiology, 2020 - Wiley Online Library
Cardiac sympathetic overactivity is a well‐established contributor to the progression of
neurogenic hypertension and heart failure, yet the underlying pathophysiology remains …

Personalized fusion of ultrasound and electromyography-derived neuromuscular features increases prediction accuracy of ankle moment during plantarflexion

Q Zhang, WH Clark, JR Franz, N Sharma - Biomedical Signal Processing …, 2022 - Elsevier
Objective Compared to mechanical signals that are used for estimating human limb motion
intention, non-invasive surface electromyography (sEMG) is a preferred signal in human …

Estimation of absolute states of human skeletal muscle via standard B-mode ultrasound imaging and deep convolutional neural networks

RJ Cunningham, ID Loram - Journal of the Royal Society …, 2020 - royalsocietypublishing.org
The objective is to test automated in vivo estimation of active and passive skeletal muscle
states using ultrasonic imaging. Current technology (electromyography, dynamometry, shear …

Enhancing batch normalized convolutional networks using displaced rectifier linear units: A systematic comparative study

D Macêdo, C Zanchettin, ALI Oliveira… - Expert Systems with …, 2019 - Elsevier
A substantial number of expert and intelligent systems rely on deep learning methods to
solve problems in areas such as economics, physics, and medicine. Improving the accuracy …

Synthesizing Real-Time Ultrasound Images of Muscle Based on Biomechanical Simulation and Conditional Diffusion Network

Z Song, Y Zhou, J Wang, CZH Ma… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Quantitative muscle function analysis based on ultrasound imaging, has been used for
various applications, particularly with recent development of deep learning methods. The …

Objective analysis of neck muscle boundaries for cervical dystonia using ultrasound imaging and deep learning

I Loram, A Siddique, MB Sánchez… - IEEE journal of …, 2020 - ieeexplore.ieee.org
Objective: To provide objective visualization and pattern analysis of neck muscle boundaries
to inform and monitor treatment of cervical dystonia. Methods: We recorded transverse …

The feasibility of dynamic musculoskeletal function analysis of the vastus lateralis in endurance runners using continuous, hands-free ultrasound

M Sjoerdsma, C Caresio, B Tchang, A Meeder… - Applied Sciences, 2021 - mdpi.com
Dynamic imaging of the skeletal muscles used to be strenuous and often impossible to
perform manually. Accordingly, long-term dynamic musculoskeletal imaging has not been …