Results 131 to 140 of about 33,488 (251)
AI‐based localization of the epileptogenic zone using intracranial EEG
Epilepsia Open, EarlyView.Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
IEEE AccessContinuous, non-intrusive respiratory rate (RR) monitoring is often hindered by motion artifacts and unstable sensor–skin contact. We propose a dual-IMU waistband design and train a network to estimate RR from the sensor signals.
Chia-Chieh Hung +2 more
doaj +1 more source
Audio Brush: Editing Audio in the Spectrogram [PDF]
, 2006 A tool for editing audio signals in the spectrogram is presented. It allows manipulating the spectrogram of a signal at any chosen time-frequency resolution directly and to reconstruct the edited signal in HiFi quality - a capability that is usually not ...
Boogaart, C. Gregor van den +1 more
core
Difference spectrogram target-distractor averaged across subjects.
, 2013 Difference spectrogram target-distractor averaged across subjects.
Kevin Butz (461366) +8 more
core +1 more source
Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
Epilepsia Open, EarlyView.Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus +7 more
wiley +1 more source
Mass spectrogram of chelerythrine (CHE) standard sample.
, 2019 Mass spectrogram of chelerythrine (CHE) standard sample.
Qiqiang Sun (7490810) +5 more
core +1 more source
High‐performance heat‐resistant tactile sensor for intelligent sensing and safe operation
FlexMat, EarlyView.Abstract Tactile sensing in high‐temperature environments remains a critical challenge for robotic systems operating in industrial manufacturing, food processing, and other high‐temperature assembly operations. Herein, we report a heat‐resistant flexible tactile sensor with comprehensive high performance, featuring a hierarchical architecture ...
Yugang Chen +8 more
wiley +1 more source
, 2013 On a speaker identification system, selection extraction feature methods and feature size are used affect the accuracy of identification. In that regard, this study will presents comparison three extraction feature CBIR methods namely full image, blocks ...
, LA ODE HASNUDDIN S. SAGALA +1 more
core
Highly conductive and robust epidermal dry electrode for long‐term interval biopotential monitoring
FlexMat, EarlyView.A freestanding PVA‐PBFDO conductive dry electrode combines high conductivity, flexibility, and environmental stability to enable long‐term, high‐fidelity electrophysiological (EP) signal monitoring. Its patterning capability further facilitates the fabrication of wearable and multi‐channel bioelectronic devices.
Anni Sun +10 more
wiley +1 more source
Research progress on the depth of anesthesia monitoring based on the electroencephalogram
Ibrain, Volume 11, Issue 1, Page 32-43, Spring 2025.Electroencephalogram (EEG) can noninvasive, continuous, and real‐time monitor the state of brain electrical activity, and the monitoring of EEG can reflect changes in the depth of anesthesia (DOA). The development of artificial intelligence can enable anesthesiologists to extract, analyze, and quantify DOA from complex EEG data.
Xiaolan He, Tingting Li, Xiao Wang
wiley +1 more source