Results 11 to 20 of about 9,393 (232)
Decoding the Self: Single-Trial Prediction of Self-Boundary Meditation States From Magnetoencephalography Recordings. [PDF]
Meditation‐induced self‐boundary dissolution can be predicted from magnetoencephalography recordings using Lempel‐Ziv complexity and oscillatory power as neural markers. We demonstrate significantly above‐chance classification of altered self‐experience on a single‐trial basis and show that it is mediated by complex activation patterns across brain ...
Röhr H +8 more
europepmc +2 more sources
Near-Field Acoustic Imaging Using Fiber-Optic Distributed Acoustic Sensing and Beamforming Techniques. [PDF]
This work introduces a beamforming‐based method to generate acoustic images from fiber‐optic distributed acoustic sensing (DAS) data. By performing 2D scanning around the sensing fiber, the approach enables near‐field imaging and localization of acoustic sources, even in regions distant from the fiber. A data‐driven DAS channel selection improves image
Soto MA, Badillo-San-Juan D.
europepmc +2 more sources
Ultrasound imaging is a largely used medical imaging system as it is safe, non-invasive, and capable of real-time imaging. In ultrasound imaging, different beamforming methods are used to obtain the image of the field of view.
Mayur Agarwal +2 more
doaj +1 more source
Superior Implementation of Accelerated QR Decomposition for Ultrasound Imaging
In this work, a novel Minimum Variance Distortion less Response (MVDR) beamformer architecture in which the adaptive weight vector is computed based on modified Column wise Givens Rotation (CGR) is presented.
S. G. Sreejeesh +2 more
doaj +1 more source
Maturational Changes in Action-Effect Integration Processes Are Reflected by Changes in the Directed Cortical Network Communication. [PDF]
The work shows how different directed communication patterns (i.e., information transfer) between cortical regions serve intentional behavior in different stages of human development. ABSTRACT Acting intentionally is a major aspect of human cognitive development and depends on the ability to link actions with their consequences.
Mayer J +3 more
europepmc +2 more sources
Robust Adaptive Beamformer Based on Constant Modulus Penalty Criteria
In this study, a robust adaptive beamformer based on constant modulus (CM) criteria is developed to improve the robustness of the array beamforming, which is a reconstructing minimal optimization for solving the mismatch problem of weight vector caused ...
Chuanhui Hao, Bin Zhang, Xubao Sun
doaj +1 more source
Adaptive Ultrasound Beamforming Using Deep Learning [PDF]
Biomedical imaging is unequivocally dependent on the ability to reconstruct interpretable and high-quality images from acquired sensor data. This reconstruction process is pivotal across many applications, spanning from magnetic resonance imaging to ultrasound imaging.
Ben Luijten +6 more
openaire +4 more sources
Background The minimum variance (MV) beamformer can significantly improve the image resolution in ultrasound imaging, but it has limited performance in noise reduction.
Yuanguo Wang +5 more
doaj +1 more source
An adaptive beamformer is sensitive to model mismatch, especially when the desired signal exists in the training samples. Focusing on the problem, this paper proposed a novel adaptive beamformer based on the interference-plus-noise covariance (INC ...
Di Yao +4 more
doaj +1 more source
Performance analysis for a class of robust adaptive beamformers [PDF]
Robust adaptive beamforming is a key issue in array applications where there exist uncertainties about the steering vector of interest. Diagonal loading is one of the most popular techniques to improve robustness.
Besson, Olivier, Vincent, François
core +1 more source

