Results 91 to 100 of about 140,946 (282)

Myoelectric Origami‐Based Soft Robotic Knee Exoskeleton to Enhance Sit‐to‐Stand Assistance in Elderly Populations

open access: yesAdvanced Intelligent Systems, EarlyView.
This work presents a lightweight Miura‐origami soft knee exoskeleton powered by vacuum actuation and integrated with a multimodal physiological intent‐recognition system, providing real‐time assistance during sit‐to‐stand movement to reduce muscle effort and improve user comfort.
Yuchuan Jia   +5 more
wiley   +1 more source

Research on a physical activity tracking system based upon three-axis accelerometer for patients with leg ulcers

open access: yesHealthcare Technology Letters, 2019
Venous leg ulcerations are a common problem, with high prevalence in the middle-aged and elderly population, and more attention on research of their physical activities has been paid, as they have great effects on the blood circulation of the lower limb.
Rongguo Yan   +3 more
doaj   +1 more source

Mixed signal approach for rapid prototyping of a compact smart pebble for sediment transport monitoring in river beds [PDF]

open access: yes, 2005
Low-cost accelerometers and gyro ICs were used to develop a smart sediment particle to study the sediment transport in rivers. With strap-down MEMS, battery, a processing subsystem and memory, this self contained unit captures semiprocessed data for ...
Kularatna, Nihal   +2 more
core   +2 more sources

Building an Intelligent Cardiovascular System Platform: Embedding Artificial Intelligence across All Facets of Cardiovascular Medicine

open access: yesAdvanced Intelligent Systems, EarlyView.
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong   +4 more
wiley   +1 more source

Research on adaptive modulus maxima selection of wavelet modulus maxima denoising

open access: yesThe Journal of Engineering, 2018
Microelectromechanical system (MEMS) accelerometers are small in size, low in power consumption and easily integrated. They can be used in intelligent hydraulic components to obtain the dynamic acceleration of the system and monitor the operating status ...
Wensi Ding, Zhiguo Li
doaj   +1 more source

Turning Slowly Predicts Future Diagnosis of Parkinson's Disease: A Decade‐Long Longitudinal Analysis

open access: yesAnnals of Neurology, EarlyView.
Objective Wearable technology allows accurate measurement of turning while walking, with cross‐sectional studies indicating that difficulty turning presents even in preclinical phases of Parkinson's disease. The aim of our study was to quantify rate of change of turning performance in a cohort of older adults, and test whether turning decline can ...
Morad Elshehabi   +9 more
wiley   +1 more source

Monolithic folded pendulum accelerometers for seismic monitoring and active isolation systems [PDF]

open access: yes, 2006
A new class of very low noise low-frequency force-balance accelerometers is presented. The device has been designed for advanced mirror isolation systems of interferometric gravitational wave detectors.
Bertolini, Alessandro   +3 more
core  

The myth of the metabolic baseline: sleep–wake cycles undermine a foundational assumption in organismal biology

open access: yesBiological Reviews, EarlyView.
ABSTRACT Basal and standard metabolic rate (BMR and SMR) are cornerstones of physiological ecology and are assumed to be relatively fixed intrinsic properties of organisms that represent the minimum energy required to sustain life. However, this assumption is conceptually flawed. Many core maintenance processes underlying SMR are temporally partitioned
Helena Norman   +4 more
wiley   +1 more source

Strain‐based modeling and analysis for rock blasting and geomechanics applications

open access: yesDeep Underground Science and Engineering, EarlyView.
This paper introduces a novel strain‐based modeling approach for blasting and geomechanical applications, using measurable variables like particle velocity, strain, and displacement. By bypassing complex constitutive relations, strain‐based models capture critical blasting trends and full‐blast design parameters with minimal calibration.
Ruilin Yang
wiley   +1 more source

Evidence of Raleigh-Hertz surface waves and shear stiffness anomaly in granular media

open access: yes, 2008
Due to the non-linearity of Hertzian contacts, the speed of sound in granular matter increases with pressure. Under gravity, the non-linear elastic description predicts that acoustic propagation is only possible through surface modes, called Rayleigh ...
B. Andreotti   +3 more
core   +1 more source

Home - About - Disclaimer - Privacy