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18 Results Found

  • Review
  • Open Access
55 Citations
9,986 Views
31 Pages

Mechanomyographic Parameter Extraction Methods: An Appraisal for Clinical Applications

  • Morufu Olusola Ibitoye,
  • Nur Azah Hamzaid,
  • Jorge M. Zuniga,
  • Nazirah Hasnan and
  • Ahmad Khairi Abdul Wahab

3 December 2014

The research conducted in the last three decades has collectively demonstrated that the skeletal muscle performance can be alternatively assessed by mechanomyographic signal (MMG) parameters. Indices of muscle performance, not limited to force, power...

(This article belongs to the Special Issue Sensors for Bioprocess Monitoring and Control)
  • Review
  • Open Access
18 Citations
2,677 Views
32 Pages

25 September 2025

Developing multi-microgrid (MMG) systems provides a new paradigm for power distribution systems with a higher degree of resilience, flexibility, and sustainability. The inclusion of communication networks as part of MMG is critical for coordinating d...

(This article belongs to the Special Issue Artificial Intelligence-Driven Innovations in Resilient Energy Systems)
  • Article
  • Open Access
1 Citations
2,916 Views
16 Pages

The purpose of this study was to assess the effects of transverse friction massage (TFM) on the electromechanical delay components and complexity of the surface electromechanical activity in the rectus femoris (RF) and vastus medialis (VM) muscles an...

(This article belongs to the Section Life Science, Biophysics)
  • Article
  • Open Access
2 Citations
1,595 Views
18 Pages

3 April 2025

Mechanomyography (MMG) is a non-invasive technique for assessing muscle activity by measuring mechanical signals, offering high sensitivity and real-time monitoring capabilities, and it has many applications in rehabilitation training. Traditional MM...

(This article belongs to the Section Biomedical Sensors)
  • Article
  • Open Access
17 Citations
3,189 Views
24 Pages

Research on Black-Box Modeling Prediction of USV Maneuvering Based on SSA-WLS-SVM

  • Lifei Song,
  • Le Hao,
  • Hao Tao,
  • Chuanyi Xu and ,
  • Rong Guo,
  • Yi Li and
  • Jianxi Yao
  • + 2 authors+ 0 author

Unmanned surface vessels (USVs) are required to perform motion prediction during a task. This is essential for USVs, especially when conducting motion control, and this work has been proven to be complicated. In this paper, an off-line black box mode...

(This article belongs to the Special Issue Data/Knowledge-Driven Behaviour Analysis for Maritime Autonomous Surface Ships—2nd Edition)
  • Article
  • Open Access
28 Citations
7,548 Views
16 Pages

Estimation of Electrically-Evoked Knee Torque from Mechanomyography Using Support Vector Regression

  • Morufu Olusola Ibitoye,
  • Nur Azah Hamzaid,
  • Ahmad Khairi Abdul Wahab,
  • Nazirah Hasnan and ,
  • Sunday Olusanya Olatunji and
  • Glen M. Davis
  • + 1 author+ 0 author

19 July 2016

The difficulty of real-time muscle force or joint torque estimation during neuromuscular electrical stimulation (NMES) in physical therapy and exercise science has motivated recent research interest in torque estimation from other muscle characterist...

(This article belongs to the Special Issue Sensing Technology for Healthcare System)
  • Proceeding Paper
  • Open Access
1,440 Views
5 Pages

Bio-Magneto Sensing and Unsupervised Deep Multiresolution Analysis for Labor Predictions in Term and Preterm Pregnancies

  • Ejay Nsugbe,
  • Oluwarotimi Williams Samuel,
  • Jose Javier Reyes-Lagos,
  • Dawn Adams and
  • Olusayo Obajemu

15 November 2023

The effective prediction of preterm labor continues to be a topic of interest for research within pregnancy medicine, where uterine muscle contraction signals have shown to be insightful to predict a potential preterm birth. Magnetomyography (MMG) is...

(This article belongs to the Proceedings of The 10th International Electronic Conference on Sensors and Applications)
  • Article
  • Open Access
9 Citations
8,798 Views
17 Pages

29 September 2023

Neuromuscular electrical stimulation plays a pivotal role in rehabilitating muscle function among individuals with neurological impairment. However, there remains uncertainty regarding whether the muscle’s response to electrical excitation is a...

(This article belongs to the Section Biosensors)
  • Article
  • Open Access
280 Views
22 Pages

Comparative Evaluation of Rudder Excitation Signals for Bayesian Identification of an MMG Model

  • Satoru Gomi,
  • Taiga Mitsuyuki,
  • Hyuga Shimozawa and
  • Keisuke Hirukawa

19 September 2026

Accurate maneuvering models are crucial for autonomous ships. Traditional methods such as model tests and CFD analysis require considerable time and cost to construct white-box models, while black-box models lack interpretability. Although system ide...

(This article belongs to the Section Ocean Engineering)
  • Article
  • Open Access
8 Citations
3,082 Views
18 Pages

Estimation of Knee Joint Extension Force Using Mechanomyography Based on IGWO-SVR Algorithm

  • Zebin Li,
  • Lifu Gao,
  • Wei Lu,
  • Daqing Wang and ,
  • Chenlei Xie and
  • Huibin Cao
  • + 1 author+ 0 author

29 November 2021

Muscle force is an important physiological parameter of the human body. Accurate estimation of the muscle force can improve the stability and flexibility of lower limb joint auxiliary equipment. Nevertheless, the existing force estimation methods can...

(This article belongs to the Topic Artificial Intelligence in Sensors)
  • Article
  • Open Access
14 Citations
6,562 Views
17 Pages

Subunit vaccines require particulate adjuvants to induce the desired immune responses. Pre-clinical manufacturing methods of adjuvants are often batch dependent, which complicates scale-up for large-scale good manufacturing practice (GMP) production....

(This article belongs to the Section Biologics and Biosimilars)
  • Article
  • Open Access
8 Citations
4,126 Views
15 Pages

17 April 2020

The ratio of substrate to catalyst (S/C) is a prime target for the application of asymmetric production of enantiomerically enriched intermediates by whole-cell biocatalyst. In the present study, an attractive increase in S/C was achieved in a natura...

  • Article
  • Open Access
62 Citations
6,357 Views
14 Pages

Irreversibility Analysis of Hybrid Nanofluid Flow over a Thin Needle with Effects of Energy Dissipation

  • Muhammad Idrees Afridi,
  • I. Tlili,
  • Marjan Goodarzi,
  • M. Osman and
  • Najeeb Alam Khan

12 May 2019

The flow and heat transfer analysis in the conventional nanofluid A l 2 O 3 − H 2 O and hybrid nanofluid C u − A l 2 O 3 − H 2 O was carried out in the present study. The present work also focused on the...

(This article belongs to the Special Issue Future and Prospects in Non-Newtonian and Nanofluids)
  • Article
  • Open Access
7 Citations
3,154 Views
10 Pages

SEM Evaluation of the Marginal Gap of Zirconia-Reinforced Lithium Silicate Full Crowns and the Effect of Post Crystallization: An In Vitro Study

  • Asaf Shely,
  • Diva Lugassy,
  • Maxim Anufriev,
  • Joseph Nissan and ,
  • Olisya Rauchwerger and
  • Gil Ben-Izhack
  • + 1 author+ 0 author

4 March 2024

Background: This study compared the influence of crystallization on marginal gap adaptation by using computer-aided design and manufacturing (CAD-CAM) for producing monolithic zirconia-reinforced lithium silicate (ZLS) ceramic crowns. Methods: A tota...

(This article belongs to the Special Issue Feature Papers in Digital Dentistry)
  • Article
  • Open Access
16 Citations
3,610 Views
23 Pages

Due to the reduction in fossil fuel abundance and the harmful environmental effects of burning them, the renewable resource potentials of microgrid (MG) structures have become highly highly. However, the uncertainty and variability of MGs leads to sy...

  • Article
  • Open Access
1 Citations
2,837 Views
33 Pages

Advances in AI are accelerating intelligent ship autonomy, yet robust trajectory tracking remains challenging under nonlinear dynamics and persistent environmental disturbances. Traditional model-based guidance becomes tuning-sensitive and loses robu...

(This article belongs to the Section Ocean Engineering)
  • Article
  • Open Access
13 Citations
5,513 Views
31 Pages

Propeller modeling in virtual captive model tests is crucial to the prediction accuracy of ship maneuvering motion. In the present study, the Computational Fluid Dynamics (CFD) method with two propeller modeling methods, Sliding Mesh (SM) and Multipl...

(This article belongs to the Special Issue Hydrodynamic Analysis on Ship Performance)
  • Article
  • Open Access
731 Views
24 Pages

Dynamic Trajectory Tracking and Autonomous Berthing Control of a Container Ship Based on Four-Quadrant Hydrodynamics

  • Chen-Wei Chen,
  • Jiahao Yin,
  • Jialin Lu,
  • Chin-Yin Chen and ,
  • Ningmin Yan and
  • Zhuo Feng
  • + 1 author+ 0 author

To address the strongly nonlinear hydrodynamic coupling and complex maneuvering challenges encountered by large ships during berthing operations in restricted waters, this paper proposes a high-precision autonomous berthing control system incorporati...

(This article belongs to the Special Issue Advanced Modeling and Intelligent Control of Marine Vehicles)