Results 51 to 60 of about 86,079 (267)
Characterization of Human Balance through a Reinforcement Learning-based Muscle Controller [PDF]
Balance assessment during physical rehabilitation often relies on rubric-oriented battery tests to score a patient's physical capabilities, leading to subjectivity. While some objective balance assessments exist, they are often limited to tracking the center of pressure (COP), which does not fully capture the whole-body postural stability.
arxiv
Applying Incremental Deep Neural Networks-based Posture Recognition Model for Injury Risk Assessment in Construction [PDF]
Monitoring awkward postures is a proactive prevention for Musculoskeletal Disorders (MSDs)in construction. Machine Learning (ML) models have shown promising results for posture recognition from Wearable Sensors. However, further investigations are needed concerning: i) Incremental Learning (IL), where trained models adapt to learn new postures and ...
arxiv
Coordinated Pose Control of Mobile Manipulation with an Unstable Bikebot Platform [PDF]
Bikebot manipulation has advantages of the single-track robot mobility and manipulation dexterity. We present a coordinated pose control of mobile manipulation with the stationary bikebot. The challenges of the bikebot manipulation include the limited steering balance capability of the unstable bikebot and kinematic redundancy of the manipulator.
arxiv
In this randomized clinical trial conducted among 142 community‐dwelling older adults at high risk for falls over 12 months, a Dalcroze Eurhythmics exercise intervention (once weekly, group‐based) improved a variety of physical and cognitive/executive function outcomes compared with a multicomponent exercise intervention (twice weekly, group‐ and home ...
Mélany Hars+7 more
wiley +1 more source
Extracellular vesicles (EVs) play a dual role in diagnostics and therapeutics, offering innovative solutions for treating cancer, cardiovascular, neurodegenerative, and orthopedic diseases. This review highlights EVs’ potential to revolutionize personalized medicine through specific applications in disease detection and treatment.
Farbod Ebrahimi+4 more
wiley +1 more source
WD patients with dystonia were more susceptible to suffer from low BMI and highߚlevel neurological dysfunctions. It was the first time to apply the PSE of EEG to detect the cortical synaptic activity in WD patients. The cortical activities of the WD patients with dystonia seemed to be more chaotic during the eyes‐closed and reading tasks but lower ...
Shaoru Zhang+9 more
wiley +1 more source
Postural stability is dependent on the interpretation of external inputs acquired by sensory information processes, such as visual, vestibular, and proprioceptive systems, in order to accomplish neuromuscular control, balance maintenance, and appropriate
Mohamed A. Abdel Ghafar+5 more
doaj +1 more source
A wireless cortical surface implant employing graphene electrode arrays diagnoses and alleviates Parkinson's disease symptoms in freely moving animals. The device continuously monitors cortical activity and delivers targeted stimulation, restoring beta–gamma and delta oscillations.
Hongseong Shin+15 more
wiley +1 more source
Graphical Abstract Paired‐samples t‐tests showed that after exercise, subjects displayed increased reading speed and fewer eye drifts, coupled with increased mean scores. This study demonstrated that running, an acute, coordinative, aerobic exercise, improves attention and increases the testing performance of the SAT reading.
Jeffrey Huang+3 more
wiley +1 more source
Designing for Degradation: Transient Devices Enabled by (Nano)Cellulose
Recent progress in transient devices enabled by (nano)cellulosic materials is reviewed. Transiency mechanisms, advantages of nanocelluloses, and a suite of applications are discussed. A circular thinking approach coupled with life cycle assessment is applied to critically revisit the potential, advantages, and challenges of nanocellulose‐enabled ...
Lucas J. Andrew+2 more
wiley +1 more source