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The electromechanical efficiency of skeletal muscle represents the dissociation between electrical and mechanical events within a muscle. It has been widely studied, with varying methods for its measurement and calculation. For this reason, the purpose of this literature review was to integrate the available research to date and provide more insights about this measure. A systematic search of the literature was performed across three online databases: PubMed, ScienceDirect, and SPORTDiscus. This yielded 1284 reports, of which 10 met the inclusion criteria. Included studies have used different methods to measure the electromechanical efficiency (EME) index, including electromyography (EMG), mechanomyography and tensiomyography (TMG). The EME index was used to assess muscle conditions such as muscle atrophy, pain syndromes, or to monitor rehabilitation in patients with knee problems, fatigue and the effects of exercise and rehabilitation. TMG has been shown to be one of the most reliable methods to obtain the EME index, but its use precludes obtaining the index during voluntary muscle contractions. Standardizing the EME index is crucial for its diverse applications in clinical, sport, and rehabilitation contexts. Future research should prioritize standardization of measurement protocols for establishing the most repeatable, and reliable approach that can be used for inter-individual comparisons or for assessing an individual for multiple times over a longer period. https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023440333 Identifier: CRD42023440333.
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http://dx.doi.org/10.3389/fbioe.2024.1398047 | DOI Listing |
Top Curr Chem (Cham)
September 2025
School of Materials Science and Engineering, Shandong Jianzhu University, Jinan, 250101, Shandong, China.
In recent years, nano-piezoelectric materials have demonstrated revolutionary potential in catalytic applications owing to their unique electromechanical coupling effects and mechanical-to-chemical energy conversion capabilities. Research focus has shifted from performance optimization of single materials to designing multi-scale band engineering and multi-field coupling mechanisms aimed at enhancing catalytic efficiency. The development of novel nano-piezoelectric cleaning materials has become a research hotspot, with various nontraditional piezoelectric materials being extended into organic degradation, biomedicine, and environmental remediation applications, accelerating the transition of piezocatalysis from laboratory research to practical implementation.
View Article and Find Full Text PDFMicromachines (Basel)
July 2025
The College of Computer and Information Sciences, Fujian Agricultural and Forestry University, Fuzhou 350002, China.
The stable operation of micromachine systems relies on reliable power management, where DC-DC converters provide energy with high efficiency to extend operational endurance. However, these converters also constitute significant electromagnetic interference (EMI) sources that may interfere with the normal functioning of micro-electromechanical systems. This paper proposes a boost converter utilizing Pulse Width Modulation (PWM) with peak current mode control to address the EMI issues inherent in the switching operation of DC-DC converters.
View Article and Find Full Text PDFNanomaterials (Basel)
August 2025
College of Physics and Electromechanical Engineering, Jishou University, Jishou 416000, China.
Quantum hydrodynamic theory (QHT) provides a computationally efficient alternative to time-dependent density functional theory for simulating plasmonic nanostructures, but its predictive power depends critically on the choice of ground-state electron density and energy functional. To construct ground-state densities, we adopt orbital-free density functional theory and numerically evaluate the effect of different exchange-correlation functionals and kinetic energy functionals. A suitable energy functional to reproduce both the DFT-calculated work function and charge density is identified.
View Article and Find Full Text PDFScience
August 2025
Department of Electrical and Computer Engineering, National University of Singapore, Singapore.
The ability to shape light spectra dynamically and arbitrarily would revolutionize many photonic systems by offering unparalleled spectral efficiency and network flexibility. However, most existing optical components have rigid spectral functionalities with limited tunability, hindering compact and fast optical spectral shaping. We introduce a pixelated nano-opto-electro-mechanical (NOEM) grating that exploits electromechanically induced symmetry breaking for precise, pixel-level control of grating coupling strength, yielding a miniaturized (~0.
View Article and Find Full Text PDFAnimals (Basel)
August 2025
Shenzhen Key Laboratory of Intelligent licrosatellite Constellation, Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen 518107, China.
Precise recognition of individual ovine specimens plays a pivotal role in implementing smart agricultural platforms and optimizing herd management systems. With the development of deep learning technology, sheep face recognition provides an efficient and contactless solution for individual sheep identification. However, with the growth of sheep, their facial features keep changing, which poses challenges for existing sheep face recognition models to maintain accuracy across the dynamic changes in facial features over time, making it difficult to meet practical needs.
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