Literature DB >> 16627681

Comparison of lung sound transducers using a bioacoustic transducer testing system.

Steve S Kraman1, George R Wodicka, Gary A Pressler, Hans Pasterkamp.   

Abstract

Sensors used for lung sound research are generally designed by the investigators or adapted from devices used in related fields. Their relative characteristics have never been defined. We employed an artificial chest wall with a viscoelastic surface and a white noise signal generator as a stable source of sound to compare the frequency response and pulse waveform reproduction of a selection of devices used for lung sound research. We used spectral estimation techniques to determine frequency response and cross-correlation of pulses to determine pulse shape fidelity. The sensors evaluated were the Siemens EMT 25 C accelerometer (Siemens); PPG 201 accelerometer (PPG); Sony ECM-T150 electret condenser microphone with air coupler (air coupler; with cylindrical air chambers of 5-, 10-, and 15-mm diameter and conical air chamber of 10-mm diameter); Littman classic stethoscope head (Littman) connected to an electret condenser microphone; and the Andries Tek (Andries) electronic stethoscope. We found that the size and shape of the air coupler chamber to have no important effect on the detected sound. The Siemens, air coupler, and Littman performed similarly with relatively flat frequency responses from 200 to 1,200 Hz. The PPG had the broadest frequency response, with useful sensitivity extending to 4,000 Hz. The Andries' frequency response was the poorest above 1,000 Hz. Accuracy in reproducing pulses roughly corresponded with the high-frequency sensitivity of the sensors. We conclude that there are important differences among commonly used lung sound sensors that have to be defined to allow the comparison of data from different laboratories.

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Year:  2006        PMID: 16627681     DOI: 10.1152/japplphysiol.00273.2006

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  10 in total

1.  Mean tracheal sound energy during sleep is related to daytime blood pressure.

Authors:  Hiroshi Nakano; Kenji Hirayama; Yumiko Sadamitsu; Shizue Shin; Tomoaki Iwanaga
Journal:  Sleep       Date:  2013-09-01       Impact factor: 5.849

2.  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

3.  The impact of the microphone position on the frequency analysis of snoring sounds.

Authors:  Michael Herzog; Thomas Kühnel; Thomas Bremert; Beatrice Herzog; Werner Hosemann; Holger Kaftan
Journal:  Eur Arch Otorhinolaryngol       Date:  2008-11-11       Impact factor: 2.503

4.  Wearable, multimodal, vitals acquisition unit for intelligent field triage.

Authors:  Christoph Beck; Julius Georgiou
Journal:  Healthc Technol Lett       Date:  2016-09-22

5.  Early detection of deteriorating ventilation by monitoring bilateral chest wall dynamics in the rabbit.

Authors:  Dan Waisman; Anna Faingersh; Carmit Levy; Eugene Konyukhov; Fatmi Ifat Colman Klotzman; Avi Rotschild; Amir Landesberg
Journal:  Intensive Care Med       Date:  2011-11-22       Impact factor: 17.440

6.  A new method for continuous monitoring of chest wall movement to characterize hypoxemic episodes during HFOV.

Authors:  Dan Waisman; Carmit Levy; Anna Faingersh; Fatmi Ifat Colman Klotzman; Eugene Konyukhov; Irena Kessel; Avi Rotschild; Amir Landesberg
Journal:  Intensive Care Med       Date:  2011-04-29       Impact factor: 17.440

7.  A Novel Accelerometer Mounting Method for Sensing Performance Improvement in Acoustic Measurements From the Knee.

Authors:  Goktug C Ozmen; Mohsen Safaei; Lan Lan; Omer T Inan
Journal:  J Vib Acoust       Date:  2020-10-13       Impact factor: 1.701

8.  Low-power wearable respiratory sound sensing.

Authors:  Dinko Oletic; Bruno Arsenali; Vedran Bilas
Journal:  Sensors (Basel)       Date:  2014-04-09       Impact factor: 3.576

9.  Tracheal sounds acquisition using smartphones.

Authors:  Bersain A Reyes; Natasa Reljin; Ki H Chon
Journal:  Sensors (Basel)       Date:  2014-07-30       Impact factor: 3.576

10.  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

  10 in total

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