Results 211 to 220 of about 95,551 (257)

Multi‐command wearable magnetic human‐machine interface enabled by low‐noise sensing and time‐series deep learning

open access: yesInfoScience, EarlyView.
This study integrates a wrist‐worn sensing platform based on a low‐noise planar Hall magnetoresistive sensor with time‐series deep learning to enable long‐range, single‐sensor, multi‐command gesture recognition with high accuracy. Further evaluations show reliable generalization across different days, previously unseen users, wearing‐position ...
Guannan Mu   +5 more
wiley   +1 more source

Temperature–strain decoupled electronic skin for human–machine interaction

open access: yesInfoMat, EarlyView.
Temperature fluctuations can cause signal drift in wearable strain sensors, interfering with human‐motion monitoring. This study integrates a serpentine strain sensor with a miniature thermistor and uses a temperature–strain calibration model to compensate for temperature‐induced resistance changes in real time, suppressing thermal drift while ...
Miao Kong   +19 more
wiley   +1 more source

Magnetic Particle‐Based Thin‐Channel Analysis for Separation and Bioanalysis: From SPLITT Fractionation to Immunoassays

open access: yesJournal of the Chinese Chemical Society, EarlyView.
Thin‐channel magnetic analytical platforms integrate magnetically controlled transport with confined laminar flow to enable quantitative bioanalysis. By coupling field‐induced migration with outlet fractionation, particle deposition, or affinity capture, these platforms merge SPLITT separation, magnetophoresis, and magnetic immunoassays.
Hweiyan Tsai, Jia‐Yun Lyu, C. Bor Fuh
wiley   +1 more source

Inter‐Reader Agreement for CT and MRI LI‐RADS Version 2018: An Individual Participant Data Meta‐Analysis

open access: yesJournal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background The Liver Imaging Reporting and Data System (LI‐RADS) is a classification system to diagnose hepatocellular carcinoma (HCC) noninvasively. The reported LI‐RADS inter‐reader variability in single‐center studies highlights the need to better understand the variability on a broader scale.
S. Das   +24 more
wiley   +1 more source

Simplifying CT/MRI LI‐RADS v2018 Maintains Diagnostic Performance: An Individual Participant Data Meta‐Analysis

open access: yesJournal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background The Liver Imaging Reporting and Data System (LI‐RADS) diagnostic algorithm assesses hepatocellular carcinoma (HCC) probability of liver observations in high‐risk individuals, but complexity may limit its adoption. Purpose To evaluate whether LI‐RADS v2018 can be simplified without impairing diagnostic performance by removing ...
E. Lam   +64 more
wiley   +1 more source

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