Results 251 to 260 of about 1,017,066 (287)
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Effect of Gas Density on Respiratory Sounds
American journal of respiratory and critical care medicine, 1996Abstract The generation of normal lung sounds by turbulent air flow has been questioned because gas density appears to have only a minor effect. We studied whether gas density has a greater influence on lung sounds at higher frequencies than traditionally measured. Six healthy adult men breathed air followed by a mixture of 80% helium
H, Pasterkamp, I, Sanchez
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Digital Spectrum Analysis of Respiratory Sound
IEEE Transactions on Biomedical Engineering, 1981The applcation of the fast Fourier transform in the digital analysis of various biological signals in the frequency domain is well-known. In this paper a method is described for spectrum analysis of respiratory sound using the technique of fast Fourier transform.
S K, Chowdhury, A K, Majumder
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Archivos de bronconeumologia, 1995
After having invented the stethoscope, Laennec published his treatise on auscultation in 1819, describing the acoustic events generated by ventilation and linking them with anatomopathological findings. The weak points of his semiology lay in its subjective and interpretative character, expressed by an imprecise and picturesque nomenclature.
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After having invented the stethoscope, Laennec published his treatise on auscultation in 1819, describing the acoustic events generated by ventilation and linking them with anatomopathological findings. The weak points of his semiology lay in its subjective and interpretative character, expressed by an imprecise and picturesque nomenclature.
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Classification of Sounds Indicative of Respiratory Diseases
2019This work presents a system achieving classification of respiratory sounds directly related to various diseases of the human respiratory system, such as asthma, COPD, and pneumonia. We designed a feature set based on wavelet packet analysis characterizing data coming from four sound classes, i.e. crack, wheeze, normal, crack+wheeze.
Stavros Ntalampiras, Ilyas Potamitis
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Classifying Respiratory Sounds with Different Feature Sets
2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 2006In this study, different feature sets are used in conjunction with (k-nearest neighbors) k-NN and artificial neural network (ANN) classifiers to address the classification problem of respiratory sound signals. A comparison is made between the performances of k-NN and ANN classifiers with different feature sets derived from respiratory sound data ...
Yasemin P. Kahya +2 more
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Proposal of BSS method to separate the respiratory sound and the heart sound
2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), 2019Conventionally, there is a method to use auscultation when medical doctors diagnose a disease from heartbeats with heart noise. However, the respiratory sound and the heart sound are mixed. Further, it is difficult for the desired heart sound to be heard.
Yuki Kubota +2 more
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Method of classifying respiratory sounds
The Journal of the Acoustical Society of America, 1999The invention provides a method of classifying respiratory sounds. The method provides the steps of selecting a first set of respiratory sounds and manually determining a classification content of the first set of respiratory events. The method further includes extrapolating the classification content of the first set of respiratory events to an at ...
Gil Raviv, Charles A. Weingarten
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Chaotic dynamics of respiratory sounds
Chaos, Solitons & Fractals, 2006There is a growing interest in nonlinear analysis of respiratory sounds (RS), but little has been done to justify the use of nonlinear tools on such data. The aim of this paper is to investigate the stationarity, linearity and chaotic dynamics of recorded RS. Two independent data sets from 8 + 8 healthy subjects were recorded and investigated.
C. Ahlstrom +3 more
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American Journal of Respiratory and Critical Care Medicine, 1997
HANS PASTERKAMP +2 more
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HANS PASTERKAMP +2 more
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SPRSound: Open-Source SJTU Paediatric Respiratory Sound Database
IEEE Transactions on Biomedical Circuits and Systems, 2022Guoxing Wang, Yuhang Zhang, Yong Lian
exaly