Results 111 to 120 of about 187,501 (315)

Quantitative Description of Sleep Stage Electrophysiology Using Digital Period Analytic Techniques [PDF]

open access: bronze, 1984
Robert Hoffmann   +5 more
openalex   +1 more source

AI‐Enhanced Gait Analysis Insole with Self‐Powered Triboelectric Sensors for Flatfoot Condition Detection

open access: yesAdvanced Materials Technologies, Volume 10, Issue 6, March 18, 2025.
The given research presents an innovative insole‐based device employing self‐powered triboelectric nanogenerators (TENG) for flatfoot detection. By integrating TENG tactile sensors within an insole, the device converts mechanical energy from foot movements to electrical signals analyzed via machine learning, achieving an 82% accuracy rate in flatfoot ...
Moldir Issabek   +7 more
wiley   +1 more source

Continuous Sleep Depth Index Annotation with Deep Learning Yields Novel Digital Biomarkers for Sleep Health [PDF]

open access: yesarXiv
Traditional sleep staging categorizes sleep and wakefulness into five coarse-grained classes, overlooking subtle variations within each stage. It provides limited information about the duration of arousal and may hinder research on sleep fragmentation and relevant sleep disorders.
arxiv  

Polarization Management on Anisotropic Thin‐Film Lithium Niobate Platform

open access: yesAdvanced Photonics Research, EarlyView.
This review focuses on x‐cut thin‐film lithium niobate (TFLN), exploring strategies to mitigate anisotropy and mode hybridization. It covers polarization beam splitters, rotators, splitter‐rotators, polarizers, and polarization‐insensitive components. Key applications include polarization‐division multiplexing, polarization‐insensitive modulation, and ...
Kaixuan Chen   +9 more
wiley   +1 more source

In‐Hand Singulation, Scooping, and Cable Untangling with a 5‐Dof Tactile‐Reactive Gripper

open access: yesAdvanced Robotics Research, EarlyView.
This article presents a two‐fingered gripper with five degrees of freedom and a vision‐based tactile sensor for dexterous in‐hand manipulation. It performs complex tasks such as object singulation within granular media, scooping and precise card insertion, and cable untangling.
Yuhao Zhou   +3 more
wiley   +1 more source

Neural correlates of self-generated imagery and cognition throughout the sleep cycle [PDF]

open access: yesarXiv, 2016
Humans have been aware for thousands of years that sleep comes in many forms, accompanied by different kinds of mental content. We review the first-person report literature on the frequency and type of content experienced in various stages of sleep, showing that different sleep stages are dissociable at the subjective level.
arxiv  

Reproducible, data-driven characterization of sleep based on brain dynamics and transitions from whole-night fMRI

open access: yeseLife
Understanding the function of sleep requires studying the dynamics of brain activity across whole-night sleep and their transitions. However, current gold standard polysomnography (PSG) has limited spatial resolution to track brain activity. Additionally,
Fan Nils Yang   +5 more
doaj   +1 more source

Responsive Mn‐Ferrite Nanoparticles for Multicolor Magnetic Particle Imaging, Sensing, and Reactive Oxygen Species Degradation

open access: yesAdvanced Sensor Research, EarlyView.
Magnetic particle spectroscopy and imaging represent promising tools, particularly when combined with manganese‐ferrite nanoparticles as versatile theranostic agents. Adjusting the manganese content allows for simultaneous multi‐color tracer detection and reactive oxygen species sensing via magnetic particle spectroscopy and imaging, creating new ...
Fabian H. L. Starsich   +10 more
wiley   +1 more source

Machine Learning Enhanced Multimodal Bioelectronics: Advancement Toward Intelligent Healthcare Systems

open access: yesAdvanced Sensor Research, EarlyView.
This review examines recent advancements in multimodal bioelectronics, emphasizing machine learning integration to enhance functionality. The application of machine learning methodologies improving biosignal processing, device adaptability, and diagnostic accuracy is discussed to introduce Machine Learning enhanced bioelectronics as a pathway toward ...
Myoungjae Oh   +11 more
wiley   +1 more source

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