Feature extraction methods for electroretinogram signal analysis: A review
Feature extraction is an essential aspect of electroretinogram (ERG) signal analysis. The
extracted features are beneficial to analyze the signal further and compress the signal for …
extracted features are beneficial to analyze the signal further and compress the signal for …
Acoustic emission parameters and waveforms characteristics of fracture failure process of asphalt mixtures
X Qiu, J Xu, S Xiao, Q Yang - Construction and Building Materials, 2019 - Elsevier
Dynamical diagnosis of damage evolution is essential to promote the pavement
performance of asphalt materials and prolong their service life. As a non-destructive method …
performance of asphalt materials and prolong their service life. As a non-destructive method …
Optimal Scale-Invariant Wavelet Representation and Filtering of Human Otoacoustic Emissions
A Moleti - Journal of the Association for Research in …, 2024 - Springer
Otoacoustic emissions (OAEs) are generated in the cochlea and recorded in the ear canal
either as a time domain waveform or as a collection of complex responses to tones in the …
either as a time domain waveform or as a collection of complex responses to tones in the …
Experimental study of airfoil-rotor interaction noise by wavelet beamforming
A wavelet-based beamforming method is performed in this investigation to analyze moving
acoustic sources in the time-frequency domain, which is of scientific significance and …
acoustic sources in the time-frequency domain, which is of scientific significance and …
Denoising click-evoked otoacoustic emission signals by optimal shrinkage
Click-evoked otoacoustic emissions (CEOAEs) are clinically used as an objective way to
infer whether cochlear functions are normal. However, because the sound pressure level of …
infer whether cochlear functions are normal. However, because the sound pressure level of …
Effects of forward-and emitted-pressure calibrations on the variability of otoacoustic emission measurements across repeated probe fits
Objective: The stimuli used to evoke otoacoustic emissions (OAEs) are typically calibrated
based on the total SPL measured at the probe microphone. However, due to the acoustics of …
based on the total SPL measured at the probe microphone. However, due to the acoustics of …
Maximising the ability of stimulus-frequency otoacoustic emissions to predict hearing status and thresholds using machine-learning models
Y Liu, R Xu, Q Gong - International Journal of Audiology, 2021 - Taylor & Francis
Objective This study aimed to maximise the ability of stimulus-frequency otoacoustic
emissions (SFOAEs) to predict hearing status and thresholds based on machine-learning …
emissions (SFOAEs) to predict hearing status and thresholds based on machine-learning …
Hearing screening based on deep residual shrinkage network
L Huang, Q Gong - Journal of Physics: Conference Series, 2022 - iopscience.iop.org
Stimulus-frequency otoacoustic emissions (SFOAEs) could be a useful tool for assessing
hearing capabilities. Training and testing data were collected from 1084 ears of 725 …
hearing capabilities. Training and testing data were collected from 1084 ears of 725 …
[PDF][PDF] Разработка и исследование алгоритмов анализа сигналов электроретинограмм для поддержки принятия решения врачом: диссертация на соискание …
АЕ Жданов - 2023 - elar.urfu.ru
Актуальность темы. Проблема сохранения зрительных функций является чрезвычайно
актуальной во всем мире. По оценкам Всемирной организации здравоохранения в …
актуальной во всем мире. По оценкам Всемирной организации здравоохранения в …
Delamination Defects Localization Using a New Time Frequency Algorithm Based on S-Transform for Ultrasonic Testing of Wind Turbine Blades Composite Materials
Wind turbine blades are one of the most critical parts of a wind turbine system. They have a
significant impact on the entire wind power system. Composite materials with polymeric …
significant impact on the entire wind power system. Composite materials with polymeric …