To our knowledge, the relationship between vibration energy measured at the chest surface of the thorax of untreated and treated CHF has never been reported. This technology has been studied recently for the detection of pleural effusion, and graft function in single lung transplant recipients.
Ĭomputerized vibration imaging technology is able to record lung vibrations (energy) and convert the signals to a dynamic image of the lung in near real time. These altered vibrations may be due to changes in amount of vibration created due to increase or decrease in airflow, changes in the transmission of vibrations through the diseased lung parenchyma, or pleural space and heterogeneity of disease throughout the lung.
#Croup lung sounds skin
The theory behind using this type of analysis is that diseases affecting the lungs would result in alterations of lung vibration energy that may be too subtle to be detected on the skin surface using conventional methods. In the past decade, there have been attempts to refine noninvasive acoustic data to better detect and monitor pulmonary abnormalities through the use of computerized lung sound analysis. Lung sounds (lung vibrations) are produced by airflow in and out of the lungs. Since the advent of the stethoscope, clinicians have routinely listened to the sounds produced by a patient's internal organs, such as the heart and lungs, as a means of assessment and to diagnose pathology. Several methods are used to assess and monitor CHF patients during therapy including clinical symptoms, physical examination, echocardiography, brain natriuretic peptide (BNP) and chest radiography. With clinical improvement of acute CHF exacerbations, there was more homogenous distribution of lung vibration energy, as demonstrated by the increased geographical area of the vibration energy image.Ĭongestive heart failure (CHF) is one of the leading causes of frequent visits to the emergency department (ED) with a prevalence of 1-2% in the general population and a five year mortality rate after diagnosis reported at 60% in males and 45% in females. After clinical improvement, the geographical area of the vibration energy image of CHF patients without and with radiographically evident pulmonary edema were increased by 18 ± 15% ( p < 0.05) and 25 ± 16% ( p < 0.05), respectively. The median (interquartile range) geographical areas of the vibration energy image of acute CHF patients without and with radiographically evident pulmonary edema were 66.9 (9.0) and 64.1(9.0) kilo-pixels, respectively ( p < 0.05). Data from the CHF patients were also compared to healthy volunteers. Geographical area of the images and respiratory sound patterns were quantitatively analyzed. Digital images were created (a larger image represents more homogeneously distributed vibration energy of respiratory sound). Twenty-three consecutive CHF patients were imaged at the time of presentation to the emergency department and after clinical improvement. Respiratory sounds throughout the respiratory cycle were captured using an acoustic-based imaging technique. Lung vibration energy was examined during acute exacerbation and after clinical improvement. The aim of this pilot study was to examine respiratory sound patterns of CHF patients using acoustic-based imaging technology. Although congestive heart failure (CHF) patients typically present with abnormal auscultatory findings on lung examination, respiratory sounds are not normally subjected to additional analysis.
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