A review of non-invasive techniques to detect and predict localised muscle fatigue
MR Al-Mulla, F Sepulveda, M Colley - Sensors, 2011 - mdpi.com
Muscle fatigue is an established area of research and various types of muscle fatigue have
been investigated in order to fully understand the condition. This paper gives an overview of …
been investigated in order to fully understand the condition. This paper gives an overview of …
Wearable super-resolution muscle–machine interfacing
Muscles are the actuators of all human actions, from daily work and life to communication
and expression of emotions. Myography records the signals from muscle activities as an …
and expression of emotions. Myography records the signals from muscle activities as an …
Feature extraction of forearm EMG signals for prosthetics
J Rafiee, MA Rafiee, F Yavari, MP Schoen - Expert Systems with …, 2011 - Elsevier
This paper presents a new technique for feature extraction of forearm electromyographic
(EMG) signals using a proposed mother wavelet matrix (MWM). A MWM including 45 …
(EMG) signals using a proposed mother wavelet matrix (MWM). A MWM including 45 …
A wearable ultrasound system for sensing muscular morphological deformations
X Yang, Z Chen, N Hettiarachchi… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Noninvasive monitoring of muscle contraction, which provides information about muscle
morphological deformations, has a great potential in medical applications, such as stroke …
morphological deformations, has a great potential in medical applications, such as stroke …
Application of artificial intelligence in modeling of the doxorubicin release behavior of pH and temperature responsive poly (NIPAAm-co-AAc)-PEG IPN hydrogel
Modeling of the drug release behavior of stimuli-responsive hydrogels is a domain of
steadily increasing academic and industrial importance. It is very difficult to accurately …
steadily increasing academic and industrial importance. It is very difficult to accurately …
Evaluation of non-invasive ankle joint effort prediction methods for use in neurorehabilitation using electromyography and ultrasound imaging
Objective: Reliable measurement of voluntary human effort is essential for effective and safe
interaction between the wearer and an assistive robot. Existing voluntary effort prediction …
interaction between the wearer and an assistive robot. Existing voluntary effort prediction …
Continuous monitoring of electromyography (EMG), mechanomyography (MMG), sonomyography (SMG) and torque output during ramp and step isometric …
In this study we simultaneously collected ultrasound images, EMG, MMG from the rectus
femoris (RF) muscle and torque signal from the leg extensor muscle group of nine male …
femoris (RF) muscle and torque signal from the leg extensor muscle group of nine male …
Motion estimation from surface electromyogram using adaboost regression and average feature values
F Xiao, Y Wang, L He, H Wang, W Li, Z Liu - IEEE Access, 2019 - ieeexplore.ieee.org
The method to estimate joint motion quickly and accurately from surface electromyogram
(sEMG) has been explored by many researchers. However, the effect of different grabbing …
(sEMG) has been explored by many researchers. However, the effect of different grabbing …
Real-time pinch force estimation by surface electromyography using an artificial neural network
The palmar pinch force estimation is highly relevant not only in biomechanical studies, the
analysis of sports activities, and ergonomic design analyses but also in clinical applications …
analysis of sports activities, and ergonomic design analyses but also in clinical applications …
Personalized fusion of ultrasound and electromyography-derived neuromuscular features increases prediction accuracy of ankle moment during plantarflexion
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 …
intention, non-invasive surface electromyography (sEMG) is a preferred signal in human …