Results 101 to 110 of about 5,434,218 (296)
Digital Cognitive Phenotyping for Differential Diagnosis and Monitoring in Neurological Conditions
ABSTRACT Objective To assess the utility, accessibility, and equivalence to supervised scales of online cognitive assessment in older individuals with cognitive impairment. Methods Patients with Alzheimer's disease (AD, n = 31), idiopathic normal pressure hydrocephalus (iNPH, n = 26), and traumatic brain injury (TBI, n = 23) completed online cognitive ...
Martina Del Giovane +10 more
wiley +1 more source
ABSTRACT Background Ischemic stroke, a major cause of mortality and long‐term disability, results from the abrupt cessation of cerebral blood flow due to vascular occlusion or rupture. Icosapent Ethyl (EPA‐EE), approved for hypertriglyceridemia, has anti‐inflammatory and antithrombotic properties that may lessen ischemic damage.
Mitra Mahmoudi Meymand +5 more
wiley +1 more source
Long‐Term Neurologic Exam Findings in People Diagnosed and Treated During Acute HIV Infection
ABSTRACT Objective Evaluate clinical and laboratory correlates of abnormal neurologic exam findings after acute HIV infection (AHI). Methods Participants from the RV254/SEARCH 010 cohort in Bangkok underwent standardized neurologic examinations at Weeks 0 (AHI), 12, 96, and 288 following antiretroviral therapy (ART).
Kathryn B. Holroyd +118 more
wiley +1 more source
The Ego-Motion Detection Algorithm for Digit-Writing Hand Gesture Recognition
This paper addresses digit-writing hand gesture recognition using ego-motion detection algorithm. In training stage, according to the manual labeled feature points, the ego-motion detection algorithm is constructed and the corresponding average feature ...
Bo Li, Er Liang Zhang
core +1 more source
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
A fast and robust hand-driven 3D mouse [PDF]
The development of new interaction paradigms requires a natural interaction. This means that people should be able to interact with technology with the same models used to interact with everyday real life, that is through gestures, expressions, voice ...
Bottino, Andrea Giuseppe +1 more
core
iGesture: A Platform for Investigating Multimodal, Multimedia Gesture-based Interactions
This paper introduces the iGesture platform for investigating multimodal gesture based interactions in multimedia contexts. iGesture is a low-cost, extensible system that uses visual recognition of hand movements to support gesture-based input.
Lewis, Paul +3 more
core +1 more source
Natural Frequencies of Levodopa‐Induced Dyskinesia in Parkinson's Disease
ABSTRACT Objectives Abnormal involuntary movements, known as dyskinesias, are common complications of levodopa treatment in patients with Parkinson's disease and can significantly impair quality of life. The underlying pathophysiology remains unclear, and current therapeutic options are limited.
Ioannis U. Isaias +3 more
wiley +1 more source
Vision-Based Gesture-Driven Drone Control in a Metaverse-Inspired 3D Simulation Environment
Unlike traditional remote control systems for controlling unmanned aerial vehicles (UAVs) and drones, active research is being carried out in the domain of vision-based hand gesture recognition systems for drone control.
Yaseen +4 more
doaj +1 more source
Hand detection and gesture recognition are two of the most studied topics in human–computer interaction (HCI). The increasing availability of sensors able to provide real‐time depth measurements, such as time‐of‐flight cameras or the more recent Kinect ...
Piercarlo Dondi +2 more
doaj +1 more source

