Results 71 to 80 of about 6,664 (259)
Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi +8 more
wiley +1 more source
When it comes to intelligent industrial production, gesture-based human–computer interaction encounters obstacles such as limited visibility due to objects blocking the view, intense illumination, and the difficulties of identifying small, faraway ...
Xiang Wu +4 more
doaj +1 more source
Hand Gesture Detection with Indication
AbstractThis paper presents a method for hand gesture detection and indication using a flex sensor and Arduino. Hand gesture detection using flexible sensors and Arduino platforms offers an innovative approach to human-computer interaction, enabling intuitive control systems in various applications such as robotics, gaming, and assistive technology ...
Shaha, Arya Ashish +3 more
openaire +3 more sources
SPG4 and Dementia: Expanding the Clinical Spectrum
ABSTRACT Objective Hereditary spastic paraplegia (HSP) is a group of disorders characterized by progressive spasticity and lower limb weakness, with mutations in SPG4/SPAST being the most common cause. Detailed studies and clinical and molecular comparisons across different populations are missing.
Emanuele Panza +19 more
wiley +1 more source
ABSTRACT Objective To assess the association and discriminative performance of serum biomarkers with clinical disease progression and survival in patients with amyotrophic lateral sclerosis (ALS). Methods This retrospective study, conducted at Houston Methodist Hospital, Houston, TX, used longitudinal serum samples collected between January 2018 and ...
David R. Beers +7 more
wiley +1 more source
Real-Time Hand Gesture Detection with 3-D Key Points Using Deep Learning
The importance of touchless systems for easier Human Machine Interaction (HMI) has been brought to light by recent pandemics. A key component of HMI, gesture detection represents a distinct class of useful computer vision applications.
Sanjay R Pawar +6 more
doaj +1 more source
A Hand Gesture Based Interactive Presentation System Utilizing Heterogeneous Cameras
In this paper, a real-time system that utilizes hand gestures to interactively control the presentation is proposed. The system employs a thermal camera for robust human body segmentation to handle the complex background and varying illumination posed by
Bobo Zeng, Guijin Wang, Xinggang Lin
doaj +1 more source
ABSTRACT Objective To evaluate the efficacy and safety of ofatumumab in patients with myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), and compare it with rituximab. Methods We conducted a single–center, observational study including 22 MOGAD patients treated with ofatumumab and 21 treated with rituximab.
Yuxin Fan +5 more
wiley +1 more source
Neurovascular Contacts in the Pathophysiology of Neuralgic Amyotrophy: An Observational Study
ABSTRACT Objective Neuralgic amyotrophy (NA) is a prevalent, monophasic, multifocal immune‐mediated neuropathy. A distinctive characteristic of the disease is the occurrence of nerve or fascicle constrictions and torsions (NA‐associated focal nerve lesions, NAFL). The pathophysiology underlying this phenomenon remains to be fully elucidated.
Johannes Fabian Holle +4 more
wiley +1 more source
ABSTRACT Objective Digital technologies hold promise for transforming healthcare by enhancing personalized treatments and offer valuable opportunities to improve patient care. Here, we evaluated several novel, self‐administered, home‐based, digital endpoints for their association with corresponding conventional standard clinical measures (primary) in ...
Arne Mueller +14 more
wiley +1 more source

