A review of current state-of-the-art control methods for lower-limb powered prostheses
Lower-limb prostheses aim to restore ambulatory function for individuals with lower-limb
amputations. While the design of lower-limb prostheses is important, this paper focuses on …
amputations. While the design of lower-limb prostheses is important, this paper focuses on …
EMG-centered multisensory based technologies for pattern recognition in rehabilitation: state of the art and challenges
In the field of rehabilitation, the electromyography (EMG) signal plays an important role in
interpreting patients' intentions and physical conditions. Nevertheless, utilizing merely the …
interpreting patients' intentions and physical conditions. Nevertheless, utilizing merely the …
A review of gait phase detection algorithms for lower limb prostheses
Fast and accurate gait phase detection is essential to achieve effective powered lower-limb
prostheses and exoskeletons. As the versatility but also the complexity of these robotic …
prostheses and exoskeletons. As the versatility but also the complexity of these robotic …
[HTML][HTML] Wearable sensors for activity monitoring and motion control: A review
Wearable sensors for activity monitoring currently are being designed and developed,
driven by an increasing demand in health care for noninvasive patient monitoring and …
driven by an increasing demand in health care for noninvasive patient monitoring and …
Micro/nanofiber-based noninvasive devices for health monitoring diagnosis and rehabilitation
Recently, in healthcare sectors, specifically for personalized health monitoring, motion
sensing, and human–machine interactions, the rising demand for stretchable and soft …
sensing, and human–machine interactions, the rising demand for stretchable and soft …
A hybrid deep transfer learning-based approach for Parkinson's disease classification in surface electromyography signals
K Rezaee, S Savarkar, X Yu, J Zhang - Biomedical Signal Processing and …, 2022 - Elsevier
Parkinson's disease (PD) is known as a rampant neurodegenerative disorder, which has
afflicted approximately 10 million people throughout the world. Surface Electromyography …
afflicted approximately 10 million people throughout the world. Surface Electromyography …
Prediction of viscosity of MWCNT-Al2O3 (20: 80)/SAE40 nano-lubricant using multi-layer artificial neural network (MLP-ANN) modeling
M Hemmat, D Toghraie, F Amoozad - Engineering Applications of Artificial …, 2023 - Elsevier
This study, a comprehensive study on dynamic viscosity (μ nf) of MWCNT-Al 2 O 3 (20:
80)/SAE40 nano-lubricant is done with an artificial neural network (ANN). In this research …
80)/SAE40 nano-lubricant is done with an artificial neural network (ANN). In this research …
A deep learning approach to EMG-based classification of gait phases during level ground walking
C Morbidoni, A Cucchiarelli, S Fioretti, F Di Nardo - Electronics, 2019 - mdpi.com
Correctly identifying gait phases is a prerequisite to achieve a spatial/temporal
characterization of muscular recruitment during walking. Recent approaches have …
characterization of muscular recruitment during walking. Recent approaches have …
Gait phase detection for lower-limb exoskeletons using foot motion data from a single inertial measurement unit in hemiparetic individuals
MD Sánchez Manchola, MJP Bernal, M Munera… - Sensors, 2019 - mdpi.com
Due to the recent rise in the use of lower-limb exoskeletons as an alternative for gait
rehabilitation, gait phase detection has become an increasingly important feature in the …
rehabilitation, gait phase detection has become an increasingly important feature in the …
A minimal and multi-source recording setup for ankle joint kinematics estimation during walking using only proximal information from lower limb
In this study, a minimal setup for the ankle joint kinematics estimation is proposed relying
only on proximal information of the lower-limb, ie thigh muscles activity and joint kinematics …
only on proximal information of the lower-limb, ie thigh muscles activity and joint kinematics …