Results 71 to 80 of about 269,420 (318)

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein   +7 more
wiley   +1 more source

More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification [PDF]

open access: green, 2020
Danfeng Hong   +6 more
openalex   +1 more source

Phase synchronization from noisy univariate signals

open access: yes, 2004
We present methods for detecting phase synchronization of two unidirectionally coupled, self-sustained noisy oscillators from a signal of the driven oscillator alone. One method detects soft, another hard phase locking. Both are applied to the problem of
A. Einstein   +10 more
core   +1 more source

Reduced Muscular Carnosine in Proximal Myotonic Myopathy—A Pilot 1H‐MRS Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Myotonic dystrophy type 2 (proximal myotonic myopathy, PROMM) is a progressive multisystem disorder with muscular symptoms (proximal weakness, pain, myotonia) and systemic manifestations such as diabetes mellitus, cataracts, and cardiac arrhythmias.
Alexander Gussew   +11 more
wiley   +1 more source

Acoustic Measures Capture Speech Dysfunction in Spinocerebellar Ataxia

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxias (SCA) are hereditary cerebellar degenerative disorders with a common feature of dysarthria, involving impaired phonatory and articulatory control of speech, thereby affecting social communication. In this study, we investigated whether acoustic measures could objectively measure speech dysfunction and identify
Zena Fadel   +5 more
wiley   +1 more source

Imaging Techniques for the Assessment of Myocardial Perfusion

open access: yesJournal of Interdisciplinary Medicine, 2016
One of the most significant causes of heart failure is coronary heart disease and subsequent left ventricular dysfunction. The prognosis and perioperative mortality are influenced by left ventricular function, which is also an important predictor marker ...
Jáni Laura   +6 more
doaj   +1 more source

Does a high level of multimodality mean less car use? An exploration of multimodality trends in England

open access: yes, 2019
Some existing studies have suggested that a higher level of multimodality—the use of more than one transport mode within a given period of time—may be desirable to achieve societies less dependent on cars.
Heinen, E, Mattioli, G
core   +1 more source

Lessons Learned From a Delayed‐Start Trial of Modafinil for Freezing of Gait in Parkinson's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Freezing of gait (FOG) in people with Parkinson's disease (PwPD) is debilitating and has limited treatments. Modafinil modulates beta/gamma band activity in the pedunculopontine nucleus (PPN), like PPN deep brain stimulation. We therefore tested the hypothesis that Modafinil would improve FOG in PwPD.
Tuhin Virmani   +8 more
wiley   +1 more source

Bump hunting with non-Gaussian kernels

open access: yes, 2005
It is well known that the number of modes of a kernel density estimator is monotone nonincreasing in the bandwidth if the kernel is a Gaussian density.
Hall, Peter   +2 more
core   +1 more source

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