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Conclusions The assessment of postural responses (PR) based in a feedback control system model shows selective gains in different bands of frequencies adaptable with child development. Objective PR characterization of pre-lingual cochlear implant users (CIU) in different sensory conditions. Methods Total energy consumption of the body's center of pressure signal (ECCOP) and its distribution in three bands of frequencies: band 1 (0-0.1 Hz), band 2 (0.1-0.7 Hz), and band 3 (0.7-20 Hz) was measured in a sample of 18 CIU (8-16 years old) and in a control group (CG) (8-15 years old). They were assessed in a standing position on a force platform in two sensory conditions: 1 = Eyes open. 2 = Eyes closed and standing on foam. Results In condition 1, total ECCOP of PR and its proportion of energy consumption in the three bands of frequencies were similar between CIU and CG (p > 0.05). In condition 2, CIU have significantly higher ECCOP, mainly in high frequencies (bands 2 and 3) (p < 0.05). ECCOP values decreased with age also, mainly in bands 2 and 3. This behavior is interpreted in the control system model proposed as an adaptation process related with child development.
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http://dx.doi.org/10.3109/00016489.2015.1113558 | DOI Listing |
J Pain Res
September 2025
Radiology Department, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.
Purpose: Previous studies have revealed alterations of the functional connectivity of the brain networks in ankylosing spondylitis (AS). Fractional amplitude of low-frequency fluctuations (fALFF) and regional homogeneity (ReHo) are both voxel-based functional metrics capable of estimating local spontaneous neural activities. This study aimed to investigate the local spontaneous neural activities in AS patients by utilizing the analytical approaches of fALFF and ReHo.
View Article and Find Full Text PDFIEEE Trans Biomed Eng
September 2025
Signal complexity analysis plays a crucial role in biomedical research, particularly in electroencephalography (EEG), for early disease diagnosis and cognitive monitoring. However, traditional entropy-based methods lack robustness, suffer from limitations such as sensitivity to noise, and fail to capture the multi-frequency structure of brain signals. To address these challenges, this study introduces Multivariate Multiscale Multi-Frequency Entropy (M3FrEn), a novel complexity metric that simultaneously incorporates multiscale dynamics, multichannel dependencies, and multi-frequency structure into a unified entropy-based framework.
View Article and Find Full Text PDFPhys Chem Chem Phys
September 2025
School of Physics, Changchun University of Science and Technology, Changchun 130022, China.
The design of carbon allotropes that simultaneously exhibit mechanical robustness and quantum functionalities remains a longstanding challenge. Here, we report a comprehensive first-principles study of cT16, a three-dimensional sp-hybridized carbon network with topologically interlinked graphene-like sheets. The structure features high ideal tensile and shear strengths, with pronounced anisotropy arising from strain-induced bond rehybridization and interlayer slipping mechanisms.
View Article and Find Full Text PDFJ Acoust Soc Am
September 2025
Medizinische Physik and Cluster of Excellence "Hearing4all, " Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany.
Processing delays can negatively affect listening experience, especially in cases where the (processed) delayed sound interferes with an un-delayed (or direct) sound component, as it is the case for (open-fit) hearing devices. In this study, psychometric functions for delay perception in individual frequency bands were measured. Also, it was assessed how noticeability adds up across frequency bands for frequency-dependent processing delays.
View Article and Find Full Text PDFBiomed Eng Lett
September 2025
Department of Biomedical Engineering, College of Health Science, Yonsei University, Wonju, South Korea.
Unlabelled: Purpose: Idiopathic rapid eye movement (REM) sleep behavior disorder (iRBD) is a sleep disorder considered to be a prodromal stage of neurodegeneration disease and is often accompanied by cognitive impairments. The purpose of this study was to investigate spatiotemporal characteristics of abnormal oscillatory cortical activity associated with dysfunction of visuospatial attention in iRBD based on an explainable machine learning approach. Methods: EEGs were recorded from 49 iRBD patients and 49 normal controls while they were performing Posner's cueing task and transformed to cortical current density time-series.
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