Results 61 to 70 of about 331,232 (268)
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Purpose In radiation oncology, the integration and registration of multiple imaging modalities is a crucial aspect of the diagnosis and treatment planning process. These images are often inherently registered, a useful feature in most cases, but possibly a hindrance when registration modifications are required.
Brian M. Anderson, Casey Bojechko
wiley +1 more source
Numerical modeling of the effects of roughness on flow and eddy formation in fractures
Journal of Rock Mechanics and Geotechnical Engineering, 2017 The effect of roughness on flow in fractures was investigated using lattice Boltzmann method (LBM). Simulations were conducted for both statistically generated hypothetical fractures and a natural dolomite fracture.
Scott Briggs +2 more
doaj +1 more source
End-to-End Automatic Sleep Stage Classification Using Spectral-Temporal Sleep Features [PDF]
arXiv, 2020 Sleep disorder is one of many neurological diseases that can affect greatly the quality of daily life. It is very burdensome to manually classify the sleep stages to detect sleep disorders. Therefore, the automatic sleep stage classification techniques are needed.
arxiv
Capturing what matters: Patient‐reported LGI1‐ANTibody encephalitis outcome RatiNg scale (LANTERN)
Annals of Clinical and Translational Neurology, EarlyView.Abstract Background LGI1‐antibody encephalitis (LGI1‐Ab‐E) is a common form of autoimmune encephalitis where most patients demonstrate ‘good’ clinician‐rated outcomes. However, more targeted questionnaires reveal numerous debilitating symptoms for many years.
Mark J Kelly +9 more
wiley +1 more source
Automatic Sleep Scoring from Large-scale Multi-channel Pediatric EEG [PDF]
arXiv, 2022 Sleep is particularly important to the health of infants, children, and adolescents, and sleep scoring is the first step to accurate diagnosis and treatment of potentially life-threatening conditions. But pediatric sleep is severely under-researched compared to adult sleep in the context of machine learning for health, and sleep scoring algorithms ...
arxiv
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACTObjectiveCerebrospinal fluid (CSF) orexin‐A has been suggested to be a biomarker of Alzheimer disease (AD). In both cognitively unimpaired healthy older adults and individuals with symptomatic AD, CSF orexin‐A is positively associated with CSF Aβ42, p‐tau181, and total tau (t‐tau) concentrations.
Ruijin Lu +13 more
wiley +1 more source
Sleep Activity Recognition and Characterization from Multi-Source Passively Sensed Data [PDF]
arXiv, 2023 Sleep constitutes a key indicator of human health, performance, and quality of life. Sleep deprivation has long been related to the onset, development, and worsening of several mental and metabolic disorders, constituting an essential marker for preventing, evaluating, and treating different health conditions.
arxiv
Novel Phenotypes and Deep Intronic Variant Expand TH‐Associated Dopa‐Responsive Dystonia Spectrum
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Approximately 20% of dopa‐responsive dystonia (DRD) cases remain genetically unresolved. Using whole‐genome sequencing, we identified two TH variants in a young DRD patient, including a novel deep intronic variant. Minigene assays confirmed that this variant causes aberrant splicing.
Xiaosheng Zheng +6 more
wiley +1 more source
REM sleep complicates period adding bifurcations from monophasic to polyphasic sleep behavior in a sleep-wake regulatory network model for human sleep [PDF]
arXiv, 2017 The structure of human sleep changes across development as it consolidates from the polyphasic sleep of infants to the single nighttime sleep period typical in adults. Across this same developmental period, time scales of the homeostatic sleep drive, the physiological drive to sleep that increases with time spent awake, also change and presumably ...
arxiv
Evaluating sleep-stage classification: how age and early-late sleep affects classification performance [PDF]
arXiv, 2023 Sleep stage classification is a common method used by experts to monitor the quantity and quality of sleep in humans, but it is a time-consuming and labour-intensive task with high inter- and intra-observer variability. Using Wavelets for feature extraction and Random Forest for classification, an automatic sleep-stage classification method was sought ...
arxiv