Literature DB >> 7555110

Measurement of respiratory acoustic signals. Effect of microphone air cavity width, shape, and venting.

S S Kraman1, G R Wodicka, Y Oh, H Pasterkamp.   

Abstract

STUDY
OBJECTIVE: We have previously investigated the effects of microphone type and coupler air chamber depth on lung sound characteristics. We now report the results of experiments exploring the effects of air chamber width, shape, and venting on lung sounds.
DESIGN: We used a single electret microphone with a variety of plastic couplers. The couplers were identical except for the diameter and shape of the air chamber. We used cylindrical chambers of 5, 10, and 15 mm in diameter at the skin and conical chambers of 8, 10, and 15 mm in diameter. We compared the inspiratory lung sound spectra obtained using each of the couplers. We also examined the tendency of various needle vents to transmit ambient noise into the microphone chamber.
SETTING: Anechoic chamber. MEASUREMENTS AND
RESULTS: The shape and diameter had little important effect on the lung sound spectrum below 500 Hz. From approximately 500 to 1,500 Hz, the 5-mm diameter couplers showed slightly less sensitivity than the 10- and 15-mm diameter couplers. All conical couplers provided approximately 5 to 10 decibel more sensitivity than the cylindrical couplers. All vents allowed some ambient noise to enter the chamber but the amount was trivial using the narrowest, longest vent.
CONCLUSIONS: These data suggest that the optimal electret microphone coupler chamber for lung sound acquisition should be conical in shape, between 10 and 15 mm in diameter at the skin, and either not vented or vented with a tube no wider than 23-g or shorter than 20 mm.

Mesh:

Year:  1995        PMID: 7555110     DOI: 10.1378/chest.108.4.1004

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  8 in total

1.  Effect of ambient respiratory noise on the measurement of lung sounds.

Authors:  H Pasterkamp; G R Wodicka; S S Kraman
Journal:  Med Biol Eng Comput       Date:  1999-07       Impact factor: 2.602

2.  Respiratory acoustic thoracic imaging (RATHI): assessing deterministic interpolation techniques.

Authors:  S Charleston-Villalobos; S Cortés-Rubiano; R González-Camarena; G Chi-Lem; T Aljama-Corrales
Journal:  Med Biol Eng Comput       Date:  2004-09       Impact factor: 2.602

3.  Investigating a compact phantom and setup for testing body sound transducers.

Authors:  Hansen A Mansy; Joshua Grahe; Thomas J Royston; Richard H Sandler
Journal:  Comput Biol Med       Date:  2011-04-14       Impact factor: 4.589

4.  Asymmetry of respiratory sounds and thoracic transmission.

Authors:  H Pasterkamp; S Patel; G R Wodicka
Journal:  Med Biol Eng Comput       Date:  1997-03       Impact factor: 2.602

5.  Computerised respiratory sounds can differentiate smokers and non-smokers.

Authors:  Ana Oliveira; Ipek Sen; Yasemin P Kahya; Vera Afreixo; Alda Marques
Journal:  J Clin Monit Comput       Date:  2016-05-10       Impact factor: 2.502

6.  Analysis of respiratory sounds: state of the art.

Authors:  Sandra Reichert; Raymond Gass; Christian Brandt; Emmanuel Andrès
Journal:  Clin Med Circ Respirat Pulm Med       Date:  2008-05-16

7.  Respiratory sound analysis in the era of evidence-based medicine and the world of medicine 2.0.

Authors:  E Andrès; R Gass; A Charloux; C Brandt; A Hentzler
Journal:  J Med Life       Date:  2018 Apr-Jun

8.  A Wearable Stethoscope for Long-Term Ambulatory Respiratory Health Monitoring.

Authors:  Gürkan Yilmaz; Michaël Rapin; Diogo Pessoa; Bruno M Rocha; Antonio Moreira de Sousa; Roberto Rusconi; Paulo Carvalho; Josias Wacker; Rui Pedro Paiva; Olivier Chételat
Journal:  Sensors (Basel)       Date:  2020-09-08       Impact factor: 3.576

  8 in total

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