Lung sounds.

Earis, J. E.

doi:10.1136/thx.47.9.671

Cited by 31 publications

(18 citation statements)

References 28 publications

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“…For the evaluation of individual recordings, we used the established technique of FFT with overlapping windows (2,7,(27)(28)(29). All numerical calculations were done with the version MATLAB 5.2 program package (which includes a signal-processing toolbox) (The MathWorks, Inc., Natick, MA).…”

Section: Discussionmentioning

confidence: 99%

The Relationship between Normal Lung Sounds, Age, and Gender

Groß

Dittmar

Penzel

et al. 2000

Am J Respir Crit Care Med

106

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Auscultation is one of the most important noninvasive and feasible methods for the detection of lung diseases. Systematic changes in breathing sounds with increasing age are of diagnostic importance. To investigate these changes, we recorded lung sounds taken from four locations in the posterior thorax of 162 subjects, together with airflow. The data were analyzed according to age, sex, and smoking habit. In order to describe the power spectrum of the lung sounds, we calculated mean and median frequency, frequency with the highest power, and a ratio (Q) of relative power of the two frequency bands of 330 to 600 Hz and 60 to 330 Hz. Linear regression analysis was used as a measurement of age-dependence of these variables. Significant differences in Q were found in men versus women (p < 0.05), but not in smokers versus nonsmokers. Within the groups, a small but significant correlation existed between Q and age (r(2) /= +/- 5%) have no clinical significance and need not to be considered in the automatic detection of lung diseases by analyzing lung sounds.

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Section: Discussionmentioning

confidence: 99%

The Relationship between Normal Lung Sounds, Age, and Gender

Groß

Dittmar

Penzel

et al. 2000

Am J Respir Crit Care Med

106

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“…(6) Since that time, new pulmonary auscultation terms have become prevalent in the international literature. (7)(8)(9) In Brazil, the impact that these terminological modifications have had on medical practice remains unknown. A recent study demonstrated that these terminological modifications have not been incorporated into practice by medical residents and interns at a university hospital.…”

Section: Introductionmentioning

confidence: 99%

Terminologia da ausculta pulmonar utilizada em publicações médicas brasileiras, no período de janeiro de 1980 a dezembro de 2003

et al. 2006

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Objective: To evaluate the appropriateness of the use of auscultation terminology in Brazilian respiratory diseaserelated medical journals published between January of 1980 and December of 2003. Methods: A descriptive study was conducted, evaluating three medical journals: the Jornal de Pneumologia (Journal of Pulmonology), Jornal de Pediatria (Journal of Pediatrics) and Revista Brasileira de Medicina (Brazilian Journal of Medicine). Original articles and case reports about respiratory diseases were selected, and auscultation terminology was extracted from these articles. The appropriateness of terms used to describe adventitious sounds was assessed. Results: We found that the inappropriate use of terms was more frequent when intermittent sounds were described than when continuous sounds were described (87.7% versus 44.0%; p = 0.0000). No significant difference was observed between the inappropriate use of terms by pulmonologists and that observed for other specialists (56.5% versus 62.0%; p = 0.26). In addition, there were no significant differences among the various regions of the country or between the periods prior to and after the dissemination of international nomenclature. Conclusion: Inappropriate use of pulmonary auscultation terms describing adventitious sounds remains common and widespread in Brazilian medical publications.

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“…En la actualidad existen distintos niveles de atención médica [2] , algunos básicos y otros más especializados, los niveles de atención medica básicos cuentan con cierta funcionalidad, implicando al menos equipo como un estetoscopio; además por normatividad, se debe contar con una computadora para el expediente electrónico del paciente [3,4] , lo cual es asequible.…”

Section: Introductionunclassified

Detección Automática y Clasificación de Eventos en Sonidos Cardiopulmonares de Sujetos Saludables

Mayorga-Ortiz

Valdez-Gonzalez

Druzgalski

et al.

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RESUMENEn este estudio, se presenta una metodología para evaluar lentes fáquicos intraoculares, cuando el flujo del humor La auscultación de señales basada en un estetoscopio estándar y/o electrónico no solo incluye sonidos internos del cuerpo, también incluye frecuentemente ruido externo de interferencia con componentes en el mismo rango. Esta forma de examinar es incluso afectada por los umbrales auditivos variantes de los profesionales de la salud y el grado de experiencia en reconocimiento de indicadores peculiares. Además, los resultados son a menudo caracterizados en términos cualitativos descriptivos sujetos a interpretaciones individuales. Para direccionar esta preocupación, los estudios presentados en este artículo contienen un procesamiento concurrente de las componentes dominantes de sonidos del corazón (HS) y del pulmón (HS), y una etapa de acondicionamiento que incluye la reducción de HS presente en señales LS. Específicamente, la transformada de Hilbert fue una técnica de caracterización para HS. En el caso de señales enfocadas a LS, las técnicas de detección de actividad de voz y el cálculo de umbrales de algunos componentes de los vectores acústicos de Coeficientes Cepstrales en Frecuencia Mel (MFCC), fueron útiles en la caracterización de eventos acústicos asociados. Las fases de inspiración y expiración fueron diferenciadas por medio de la sexta componente de MFCC. Con el fin de evaluar la eficiencia de esta aproximación, proponemos los Modelos Ocultos de Markov con Modelos Mesclados Gaussianos (HMM-GMM). Los resultados utilizando esta forma de detección son superiores cuando se desarrolla la clasificación con modelos HMM-GMM, la cual refleja las ventajas de la forma de detección cuantificable y clasificación sobre la aproximación clínica tradicional.PALABRAS CLAVE: Transformada de Hilbert (HT); Detección de Actividad de Voz (VAD); Modelos Mezclados Gaussianos(GMM); Modelos Ocultos de Markov (HMM).

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Lung sounds.

Cited by 31 publications

References 28 publications

The Relationship between Normal Lung Sounds, Age, and Gender

The Relationship between Normal Lung Sounds, Age, and Gender

Terminologia da ausculta pulmonar utilizada em publicações médicas brasileiras, no período de janeiro de 1980 a dezembro de 2003

Detección Automática y Clasificación de Eventos en Sonidos Cardiopulmonares de Sujetos Saludables

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