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Discrimination of Lung Sounds using a statistics of waveform intervals
- Mater thesis of Yamaguchi Univ. (2006) in Japanese
"... Abstract In a lung auscultatory sounds diagnosis, the diagnosis result would be affected by the skill of the doctor, that is, the doctor should discriminate a lung sounds by own subjective, since standard diagnosis procedure with objectivity has not been established yet. In many cases of the lung so ..."
Abstract
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Abstract In a lung auscultatory sounds diagnosis, the diagnosis result would be affected by the skill of the doctor, that is, the doctor should discriminate a lung sounds by own subjective, since standard diagnosis procedure with objectivity has not been established yet. In many cases of the lung
Sound Effects. (In Press)
"... in early diagnosis of prediabetes and delay progression to type2 diabetes mellitus. ..."
Abstract
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in early diagnosis of prediabetes and delay progression to type2 diabetes mellitus.
Hartimo I. Heart sound segmentation algorithm based on heart sound envelogram
- In Computers in Cardiology
, 1997
"... The segmentation algorithm, which separates the heart sound signal into four parts: the first heart sound, the systole, the second heart sound and the diastole, is developed. The segmentation of phonocardiogram signal is the first step of analysis and the most important procedure in the automatic di ..."
Abstract
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Cited by 24 (0 self)
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diagnosis of heart sounds. This algorithm is based on the normalized average Shannon energy of PCG signal. The performance of the algorithm has been evaluated using 515 periods of PCG signal recording from 37 objects including normal and abnormal. The algorithm has shown 93 percent correct ratio. 1.
The Analysis of Heart Sounds for . . .
, 2001
"... Heart auscultation (the interpretation by a physician of heart sounds) is a fundamental component in cardiac diagnosis. It is, however, a difficult skill to acquire. In this work, we present a study for a system intended to aid in heart sound analysis. Based on a wavelet decomposition of the sounds ..."
Abstract
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Heart auscultation (the interpretation by a physician of heart sounds) is a fundamental component in cardiac diagnosis. It is, however, a difficult skill to acquire. In this work, we present a study for a system intended to aid in heart sound analysis. Based on a wavelet decomposition of the sounds
for Heart Diseases Diagnosis
"... Heart diagnosis equipment is not always available in every medical center, especially in the rural areas where less support and care. Physician intuition and experience are not always enough to attain high quality medical results. Therefore, medical errors and unwanted results are reasons for a need ..."
Abstract
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stenosis, aortic stenosis and ventricular septal defect. Additionally, the system offers a promising opportunity to develop an operational screening and testing device for heart disease diagnosis and can provide great assistance for clinicians to make advanced heart sound diagnosis, especially in rural
Embedded Stethoscope for Heart Sounds
"... In India significant percentage of the people who die due to cardiovascular diseases belong to rural part. The major reasons are lack of awareness, lifestyle, and the cost factor. While the first two reasons are more applicable in urban India, the third is a pain point for rural areas where there ar ..."
Abstract
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be done using the stethoscope used for auscultation.For many years healthcare professionals would listen quietly to patients internal organs so they could diagnose from specific sounds of these organs. But it requires lot of expertise for such diagnosis, which is not available in the rural part
What is the diagnosis?
"... A 28-year-old male patient with insulin-dependent diabetes mellitus was found lethargic on the garage floor. At the hospital, he was unresponsive to verbal stimuli, his breath sounds were coarse, and his heart sounds were irregular. The admitting diagnosis was diabetic ketoacidosis and sepsis second ..."
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A 28-year-old male patient with insulin-dependent diabetes mellitus was found lethargic on the garage floor. At the hospital, he was unresponsive to verbal stimuli, his breath sounds were coarse, and his heart sounds were irregular. The admitting diagnosis was diabetic ketoacidosis and sepsis
A Computer-based Sound Recognition System for the Diagnosis of Pulmonary Disorders
"... This paper presents a computer-based sound recognition system for diagnosis of pulmonary disorders based on the interpretation of the lung sound signals (LSS). We propose a novel method of analysis of LSS using the Mel-frequency cepstral coefficients, the spectral and temporal parameters estimated f ..."
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This paper presents a computer-based sound recognition system for diagnosis of pulmonary disorders based on the interpretation of the lung sound signals (LSS). We propose a novel method of analysis of LSS using the Mel-frequency cepstral coefficients, the spectral and temporal parameters estimated
The Apical First Heart Sound as an Aid in the Diagnosis of Atrial Septal Defect
"... AN ACCENTUATED first heart sound at the mitral area is often noted in cases of uncomplicated atrial septal defect. ' Leatham and Gray2 showed that it is actually the sec-ond component of the first heart sound that is accentuated and stated that this occurs in the presence of large left-to-right ..."
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AN ACCENTUATED first heart sound at the mitral area is often noted in cases of uncomplicated atrial septal defect. ' Leatham and Gray2 showed that it is actually the sec-ond component of the first heart sound that is accentuated and stated that this occurs in the presence of large left
on Sound and Vibration OPTIMIZATION OF MORLET WAVELET FOR MECHANICAL FAULT DIAGNOSIS
"... Condition monitoring of rotating machines is commonly based on analysis of machine vibrations. In the presence of a mechanical fault, vibration signals comprise periodic impulses with a characteristic frequency corresponding to a particular defect. However, due to a heavy noise in the industrial app ..."
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is avoided, thus guaranteeing stable performance of the de-noising algorithm. Consequently, the improved method provides more reliable fault diagnosis, as well as higher computational efficiency, suitable for industrial production applications.
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