Results 171 to 180 of about 329,555 (323)

Feedback stabilization over signal-to-noise ratio constrained channels

open access: yesProceedings of the 2004 American Control Conference, 2004
J. Braslavsky   +2 more
semanticscholar   +1 more source

Neonatal Respiration Monitoring System with Synchronized Oxygen Supply and Machine Learning‐Based Breathing Classification

open access: yesAdvanced Intelligent Systems, EarlyView.
The study presents a low‐cost, noninvasive system for real‐time neonatal respiratory monitoring. A flexible, screen‐printed sensor patch captures chest movements with high sensitivity and minimal drift. Combined with machine learning, the system accurately detects breathing patterns and offers a practical solution for neonatal care in low‐resource ...
Gitansh Verma   +3 more
wiley   +1 more source

Riemannian Geometry for the Classification of Brain States with Intracortical Brain Recordings

open access: yesAdvanced Intelligent Systems, EarlyView.
Geometric machine learning is applied to decode brain states from invasive intracortical neural recordings, extending Riemannian methods to the invasive regime where data is scarcer and less stationary. A Minimum Distance to Mean classifier on covariance manifolds uses geodesic distances to outperform convolutional neural networks while reducing ...
Arnau Marin‐Llobet   +9 more
wiley   +1 more source

Balancing Radiation Dose and Image Quality: Protocol Optimization for Mobile Head CT in Neurointensive Care Unit Patients. [PDF]

open access: yesDiagnostics (Basel)
Mialkowskyj D   +8 more
europepmc   +1 more source

Aortic 4D flow: Quantification of signal‐to‐noise ratio as a function of field strength and contrast enhancement for 1.5T, 3T, and 7T

open access: yesMagnetic Resonance in Medicine, 2015
A. Hess   +10 more
semanticscholar   +1 more source

Microendovascular Neural Recording from Cortical and Deep Vessels with High Precision and Minimal Invasiveness

open access: yesAdvanced Intelligent Systems, EarlyView.
Intravascular electroencephalography (ivEEG) using micro‐intravascular electrodes was developed. Cortical‐vein ivEEG showed a higher signal‐to‐noise ratio and finer spatial resolution of somatosensory evoked potentials (SEPs) than superior sagittal sinus ivEEG, and deep‐vein ivEEG captured clear visual evoked potentials.
Takamitsu Iwata   +15 more
wiley   +1 more source

Optical Fiber‐Based Versatile Wearable Force Myography System: Application to Human–Robot Interaction

open access: yesAdvanced Intelligent Systems, EarlyView.
A compact and flexible wearable force myography sensor based on optical fiber technology detects muscle activity through pressure‐induced light loss. The sensor offers high sensitivity for detecting subtle force and finger motion changes, along with excellent signal stability under dynamic and sweating conditions.
Chongyoung Chung   +3 more
wiley   +1 more source

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