Results 131 to 140 of about 66,612 (245)
Assessment and intervention with patients with severe disorders of consciousness [PDF]
Andrea, Bosco +4 more
core +1 more source
Organic neuromorphic electronics powering intelligent sensory and edge computing systems
Organic electronic materials are promising candidates for neuromorphic sensing applications, including chemical, physical, visual, and multimodal sensing, owing to their mechanical softness, biocompatibility, and intrinsic ionic–electronic coupling.
Seungjun Woo +5 more
wiley +1 more source
Visual Error Augmentation for Enhancing Motor Learning and Rehabilitative Relearning [PDF]
We developed a real-time controller for a 2 degree-of-freedom robotic system using xPC Target. This system was used to investigate how different methods of performance error feedback can lead to faster and more complete motor learning in individuals ...
Bajaj, Preeti +3 more
core +1 more source
ABSTRACT Background Facial paralysis rehabilitation has progressed substantially over the past two decades, yet the scientific landscape of this field remains highly fragmented across surgical, neurological, and rehabilitation disciplines. Despite growing clinical and technological advances—including neuromuscular retraining, chemodenervation ...
Mert Doğan, Fatma Ayvat
wiley +1 more source
Peter Frommelt, Hubert Lösslein
+4 more sources
Aim Neurorehabilitation is fundamental to improve outcomes for patients recovering from injury to the central nervous system. Access to neurorehabilitation is limited by resource shortages; the consequences of which are unfulfilled therapy needs, longer ...
William Stephen Bolton +9 more
doaj +1 more source
Editorial: Tele-NeuroRehabilitation [PDF]
Annie J. Hill +3 more
openaire +3 more sources
ABSTRACT Objective This study aimed to examine the trajectory of activities of daily living among older adults in China and its influencing factors. Design A retrospective, longitudinal study. Methods This study was conducted by using data from the China Health and Retirement Longitudinal Study, which collected a set of high‐quality micro‐data ...
Taomei Zhang +6 more
wiley +1 more source
This study combined clinical, demographic, and MRI data from 224 multiple sclerosis (MS) patients using an explainable hybrid deep learning model to assess the prevalence of Mild and Major Neurocognitive Disorders and predict future cognitive decline. The model showed high accuracy (AUC = 0.89) and low uncertainty, identifying cortical and frontal lobe
Loredana Storelli +7 more
wiley +1 more source
In recognition of the importance and timeliness of computational models for accelerating progress in neurorehabilitation, the U.S. National Science Foundation (NSF) and the National Institutes of Health (NIH) sponsored a conference in March 2023 at the ...
Grace M. Hwang +10 more
doaj +1 more source

