Results 161 to 170 of about 73,442 (260)

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

open access: yesAI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury   +2 more
wiley   +1 more source

Olfactory Bulb Volume Reflects Olfactory Dysfunction and Network Organization: Insights From the Population‐Based Rhineland Study

open access: yesInternational Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background Olfactory dysfunction is common in aging and an early symptom of neurodegenerative diseases, but how structural (olfactory bulb [OB] volume) and functional (olfactory network [OFN] functional connectivity [FC]) brain features interact to shape odor identification ability remains unclear.
Weiyi Zeng   +4 more
wiley   +1 more source

Biomarkers of stroke recovery using EEG-based resting-state functional connectivity: a systematic review. [PDF]

open access: yesJ Neuroeng Rehabil
Napoli E   +9 more
europepmc   +1 more source

Anti‐inflammatory and osteogenic effects of transcutaneous electrical nerve stimulation in knee osteoarthritis rats via the regulation of the intestinal microbiota

open access: yesAnimal Models and Experimental Medicine, EarlyView.
Transcutaneous electrical nerve stimulation (TENS) improved knee osteoarthritis (KOA) in rats by regulating interleukin‐1β (IL‐1β), IL‐6, and IL‐8 expressions and the bone morphogenetic protein 2 (BMP‐2)/transforming growth factor β (TGF‐β) signaling pathway.
Yan Sun   +6 more
wiley   +1 more source

AI‐Driven Mapping of Seizure Spread Patterns

open access: yesAnnals of Neurology, EarlyView.
Objective The focus of epilepsy research has largely been on seizure onset; however, physicians typically examine the patterns of seizure spread past seizure onset as well. This study aims to align automated seizure analysis with clinical practice, leverage deep learning to standardize seizure annotations that varies among physicians, and understand ...
Andrew Y. Revell   +13 more
wiley   +1 more source

Multimodal Image Guidance in Subthalamic Deep Brain Stimulation for Parkinson's Disease

open access: yesAnnals of Neurology, EarlyView.
Objective Accurate electrode placement and individual stimulation parameters influence the outcomes of subthalamic deep brain stimulation in Parkinson's disease. Neuroimaging‐based models can help evaluate how electrode placement impacts improvement, aiming to reduce the burden of programming.
Patricia Zvarova   +27 more
wiley   +1 more source

Frequency‐ and Network‐Specific Changes in Functional Connectivity Reflect Pathophysiological Mechanisms across Parkinson's Disease Stages

open access: yesAnnals of Neurology, EarlyView.
Objective Parkinson's disease (PD) is increasingly conceptualized as a disorder of large‐scale brain networks, yet whether and how frequency‐specific functional connectivity reorganizes across stages remains poorly understood. In this study, we used high‐density electroencephalography (EEG) to characterize cortico‐cortical functional connectivity ...
Matteo Conti   +15 more
wiley   +1 more source

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