Št. zadetkov: 13
Izvirni znanstveni članek
Oznake:
wet cough;dry cough;complex network;
This article proposes a unique approach to bring out the potential of graph-based features to reveal the
hidden signatures of wet (WE) and dry (DE) cough signals, which are the suggestive symptoms of various
respiratory ailments like COVID 19. The spectral and complex network analyses of 115 cough ...
Leto:
2021
Vir:
Repozitorij Univerze v Novi Gorici (RUNG)
Izvirni znanstveni članek
Oznake:
phase portrait;auscultation;mitral valve dysfunction;heart murmur;nonlinear time series analysis;
The manuscript elucidates the potential of phase portrait, fast Fourier transform, wavelet, and time-series analyses of the heart murmur (HM) of normal (healthy) and mitral regurgitation (MR) in the diagnosis of valve-related cardiovascular diseases. The temporal evolution study of phase portrait an ...
Leto:
2021
Vir:
Repozitorij Univerze v Novi Gorici (RUNG)
Izvirni znanstveni članek
Oznake:
breath sound analysis;fractal dimension;nonlinear time series analysis;sample entropy;hurst exponent;principal component analysis;
The development of novel digital auscultation techniques has become highly significant in the context
of the outburst of the pandemic COVID 19. The present work reports the spectral, nonlinear time series,
fractal, and complexity analysis of vesicular (VB) and bronchial (BB) breath signals. The an ...
Leto:
2020
Vir:
Repozitorij Univerze v Novi Gorici (RUNG)
Izvirni znanstveni članek
Oznake:
auscultation;wheeze;fractals;nonlinear time series analysis;sample entropy;
Since the outbreak of the pandemic Coronavirus Disease 2019, the world is in search of novel non-invasive methods for safer
and early detection of lung diseases. The pulmonary pathological symptoms refected through the lung sound opens a possibility of detection through auscultation and of employi ...
Leto:
2020
Vir:
Repozitorij Univerze v Novi Gorici (RUNG)
Izvirni znanstveni članek
Oznake:
fluorescent emissionlung signal;fractal analysis;sample entropy;nonlinear timeseries;
Objectives: The present work reports the study of 34 rhonchi (RB) and
Bronchial Breath (BB) signals employing machine learning techniques, timefrequency, fractal, and non-linear time-series analyses. Methods: The timefrequency analyses and the complexity in the dynamics of airflow in BB
and RB are ...
Leto:
2022
Vir:
Repozitorij Univerze v Novi Gorici (RUNG)
Izvirni znanstveni članek
Oznake:
auscultation;biomedical signal processing;fractals;machine learning;
The paper delves into the plausibility of applying fractal, spectral, and nonlinear time series analyses for lung auscultation. The thirty-five sound signals of bronchial (BB) and pulmonary crackle (PC) analysed by fast Fourier transform and wavelet not only give the details of number, nature, and t ...
Leto:
2021
Vir:
Repozitorij Univerze v Novi Gorici (RUNG)
Izvirni znanstveni članek
Oznake:
croup cough;pertussis;fractal dimension;phase portrait;
Cough signal analysis for understanding the pathological condition has become important from the outset of the exigency posed by the epidemic COVID-19. The present work suggests a surrogate approach for the classification of cough signals - croup cough (CC) and pertussis (PT) – based on spectral, fr ...
Leto:
2021
Vir:
Repozitorij Univerze v Novi Gorici (RUNG)
Izvirni znanstveni članek
Oznake:
phase portrait;time series;feature extraction;pleural rub;
This paper proposes a novel surrogate method of classification of breath sound signals for auscultation through the principal component
analysis (PCA), extracting the features of a phase portrait. The nonlinear parameters of the phase portrait like the Lyapunov exponent, the
sample entropy, the fr ...
Leto:
2020
Vir:
Repozitorij Univerze v Novi Gorici (RUNG)
Izvirni znanstveni članek
Oznake:
breath sound;fractal;linear discriminant analysis;nonlinear time series;stridor;
Nonlinear signal processing, spectral, and fractal based stridor auscultation: A machine learning approach
Leto:
2022
Vir:
Repozitorij Univerze v Novi Gorici (RUNG)
Izvirni znanstveni članek
Oznake:
time series;mel frequency;cough signal;wet cough;dry cough;phase portrait;mel coefficients;fractal dimension;neural network;
Time series and mel frequency analyses of wet and dry cough signals
Leto:
2023
Vir:
Repozitorij Univerze v Novi Gorici (RUNG)