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| http://dx.doi.org/10.4103/0301-4738.41409 | DOI Listing |
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Novel neuromuscular controllers with simplified muscle model and enhanced reflex modulation: A comparative study in hip exoskeletons.
Wearable Technol
December 2024
Biorobotics Laboratory, EPFL, Lausanne, Vaud, Switzerland.
Neuromuscular controllers (NMCs) offer a promising approach to adaptive and task-invariant control of exoskeletons for walking assistance, leveraging the bioinspired models based on the peripheral nervous system. This article expands on our previous development of a novel structure for NMCs with modifications to the virtual muscle model and reflex modulation strategy. The modifications consist firstly of simplifications to the Hill-type virtual muscle model, resulting in a more straightforward formulation and reduced number of parameters; and second, using a finer division of gait subphases in the reflex modulation state machine, allowing for a higher degree of control over the shape of the assistive profile.
View Article and Find Full Text PDFDrought dynamics in California and Mississippi: A wavelet analysis of meteorological to agricultural drought transition.
J Environ Manage
November 2024
The National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing, Jiangsu 210098, China; College of Mechanics and Engineering Science, Hohai University, Nanjing, Jiangsu 210098, China. Electronic address:
Understanding the transition from meteorological to agricultural drought is crucial for developing effective drought management strategies and early warning systems. This study provides a unique perspective by utilizing hybrid drought indices to explore the temporal and spatial complexities of drought propagation across two large watersheds-California and Mississippi-that feature distinct agro-climatic conditions and irrigation practices. We assess the links between meteorological drought, measured by the Standardized Precipitation Index (SPI), and agricultural drought using three indicators: Vegetation Drought Response Index (VegDRI), GRACE Root Zone Soil Moisture Percentile (SMI), and the Evaporative Demand Drought Index (EDDI).
View Article and Find Full Text PDFQuantitative assessment of human motion for health and rehabilitation: A novel fuzzy comprehensive evaluation approach.
SLAS Technol
October 2024
Department of Physical Education, Hunan Mass Media Vocational & Technical College, Changsha 410100, China; Faculty of Social Sciences and Liberal Arts, UCSI University. 56000, Malaysia. Electronic address:
In the pursuit of advancing health and rehabilitation, the quintessence of human motion recognition technology has been underscored through its quantitative contributions to physical performance assessment. This research delineates the inception of a novel fuzzy comprehensive evaluation-based recognition method that stands at the forefront of such innovative endeavours. By synergistically fusing multi-sensor data and advanced classification algorithms, the proposed system offers a granular quantitative analysis with implications for health and fitness monitoring, particularly rehabilitation processes.
View Article and Find Full Text PDFBackground: This study focused on using deep learning neural networks to classify the severity of osteoarthritis in the knee. A continuous regression score of osteoarthritis severity has yet to be explored using artificial intelligence machine learning, which could offer a more nuanced assessment of osteoarthritis.
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Integr Org Biol
May 2024
Department of Biology, The George Washington University, Washington, DC 20052, USA.
Teeth reveal how organisms interact with their environment. Biologists have long looked at the diverse form and function of teeth to study the evolution of feeding, fighting, and development. The exponential rise in the quantity and accessibility of computed tomography (CT) data has enabled morphologists to study teeth at finer resolutions and larger macroevolutionary scales.
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