Results 61 to 70 of about 2,406,252 (250)
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
Boundary‐Dependent Sleep–Wake Dysregulation in Idiopathic Hypersomnia
ABSTRACT Objective Idiopathic hypersomnia (IH) presents with excessive daytime sleepiness (EDS) despite apparently preserved nocturnal sleep, challenging traditional models of hypersomnolence based on sleep loss or fragmentation. We aimed to test the hypothesis that EDS in IH reflects excessive stabilization of the sleep state, consistent with ...
Samantha Mombelli +13 more
wiley +1 more source
Temporal Divergence of True and False Alarms in Pediatric Nocturnal Seizure Monitoring
The early‐morning surge in false seizure alarms supports exploring time‐ or state‐dependent detection thresholds to reduce false detections. ABSTRACT Seizure detection devices can improve the safety of children with epilepsy, yet high false alarms limit their clinical applicability.
Mohammad Shahbakhti +6 more
wiley +1 more source
Diffusion Basis Spectrum Imaging of Tissue Microstructure and Early Treatment in Multiple Sclerosis
ABSTRACT Objective Conventional MRI cannot resolve the coexisting pathological processes within multiple sclerosis tissue. Diffusion Basis Spectrum Imaging decomposes the diffusion signal into fiber, cell, and hindered ratios indexing axonal integrity, cellularity, and extracellular space, respectively.
Apisit Kaewsanit +10 more
wiley +1 more source
Dynamic Trajectory Planning for Autonomous Parafoil Homing Under Wind Disturbances
The parafoil is highly susceptible to deviations from its reference trajectory under wind disturbances. Given its constrained longitudinal control authority, it has limited capability to correct these deviations and regain the intended glide path.
Luqi Yan +4 more
doaj +1 more source
Methods for text segmentation from scene images
Camera-captured scene/born-digital image analysis helps in the development of vision for robots to read text, transliterate or translate text, navigate and retrieve search results. However, text in such images does nor follow any standard layout, and its
Deepak Kumar, A G Ramakrishnan
doaj +1 more source
Four‐Year Cognitive Outcomes in Multiple Sclerosis: Associations With Lesion Myelin Integrity
ABSTRACT Objectives Cognitive impairment is prevalent in patients with multiple sclerosis (MS) but whether lesion myelin integrity influences future cognitive outcomes remains unclear. We investigated the relationship between baseline lesion myelin water fraction (MWF) and cognitive performance 4 years later.
Iliana Pliska‐Bloch +9 more
wiley +1 more source
Lost Motion Analysis of Micro-segment 3K-I Planetary Gear
Aiming at the difficult about lost motion calculation of micro-segment planetary gear transmission accuracy. Considering the influence of gear natural error, assembly error and the time-varying mesh stiffness of gears, the lost motion model of planetary ...
Lingkun Zhu +3 more
core +1 more source
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah +4 more
wiley +1 more source
A concept for fully automated segmentation of bone in ultrasound imaging
This study proposes a novel concept for the automated and computerised segmentation of ultrasound images of bone based on motion information. Force is applied on the heel region using the ultrasound probe and then removed while recording the video of the
Ananth Hari Ramakrishnan +5 more
doaj +1 more source

