Adventitious sounds and their characteristics are the critical indicators of lung dysfunctions. Unfortunately, the captured lung sound often contains noise interferences, which may hinder the accuracy assessment of lung health. This paper proposes a hybrid approach of wavelet-based empirical Wiener filter and wavelet-based total variation (WATV) to denoise adventitious lung sound signals. As an optimal filter, the wavelet-based empirical Wiener filter requires appropriate selections of two wavelet transform bases, whereas WATV indirectly eliminates the need to select the wavelet transform bases by modifying a single objective function to achieve a minimax optimal filter in the sense of mean-squared error. We combined the two approaches by u...
Auscultation of lung sounds in an ambulance or aircraft (helicopter or fixed wing) used for medical ...
Lung cancer is the most common cancer worldwide and the third most common cancer in Malaysia. Due to...
Signal complexity in lung sounds is assumed to be able to differentiate and classify characteristic ...
A unique and ideal integration of wavelet-based total variation (WATV) and empirical Wiener denoisin...
A unique and ideal integration of wavelet-based total variation (WATV) and empirical Wiener denoisin...
The development of science and technology in the field of healthcare increasingly provides convenien...
Computer analysis of Lung Sound (LS) signals has been proposed in recent years as a tool to analyze ...
Auscultation or lung sound analysis depends on the familiarity of the physician on detecting sound p...
Auscultation or lung sound analysis depends on the familiarity of the physician on detecting sound p...
The lung is an important organ and an important health indicator of a human. Respiratory diseases ar...
AbstractThe electrocardiogram (ECG) records the electrical activity of the heart muscle and displays...
Voice Enhancement systems are used to remove background inference in a speech signal and are become ...
Abstract—Auscultation is the most important and effective clinical technique for evaluating a patien...
Today, as a result of the widespread use of electronic stethoscopes, lung sounds can be recorded an...
ABSTRACT For computerized analysis of respiratory sounds to be effective, the acquired signal must b...
Auscultation of lung sounds in an ambulance or aircraft (helicopter or fixed wing) used for medical ...
Lung cancer is the most common cancer worldwide and the third most common cancer in Malaysia. Due to...
Signal complexity in lung sounds is assumed to be able to differentiate and classify characteristic ...
A unique and ideal integration of wavelet-based total variation (WATV) and empirical Wiener denoisin...
A unique and ideal integration of wavelet-based total variation (WATV) and empirical Wiener denoisin...
The development of science and technology in the field of healthcare increasingly provides convenien...
Computer analysis of Lung Sound (LS) signals has been proposed in recent years as a tool to analyze ...
Auscultation or lung sound analysis depends on the familiarity of the physician on detecting sound p...
Auscultation or lung sound analysis depends on the familiarity of the physician on detecting sound p...
The lung is an important organ and an important health indicator of a human. Respiratory diseases ar...
AbstractThe electrocardiogram (ECG) records the electrical activity of the heart muscle and displays...
Voice Enhancement systems are used to remove background inference in a speech signal and are become ...
Abstract—Auscultation is the most important and effective clinical technique for evaluating a patien...
Today, as a result of the widespread use of electronic stethoscopes, lung sounds can be recorded an...
ABSTRACT For computerized analysis of respiratory sounds to be effective, the acquired signal must b...
Auscultation of lung sounds in an ambulance or aircraft (helicopter or fixed wing) used for medical ...
Lung cancer is the most common cancer worldwide and the third most common cancer in Malaysia. Due to...
Signal complexity in lung sounds is assumed to be able to differentiate and classify characteristic ...