Literature DB >> 8222817

Measurement of respiratory acoustical signals. Comparison of sensors.

H Pasterkamp1, S S Kraman, P D DeFrain, G R Wodicka.   

Abstract

We assessed the performance of three air-coupled and four contact sensors under standardized conditions of lung sound recording. Recordings were obtained from three of the investigators at the best site on the posterior lower chest as determined by auscultation. Lung sounds were band-pass filtered between 100 and 2,000 Hz and sampled simultaneously with calibrated airflow at a rate of 10 kHz. Fourier techniques were used for power spectral analysis. Average spectra for inspiratory sounds at flows of 2 +/- 0.5 L/s were referenced against background noise at zero flow. Air-coupled and contact sensors had comparable maximum signal-to-noise ratios and gave similar values for most spectral parameters. Unexpectedly, less sensitivity (lower signal-to-noise ratio) at high frequencies was observed in the air-coupled devices. Sensor performance needs to be characterized in studies of lung sounds. We suggest that lung sound spectra should be averaged at known airflows over several breaths and that all measurements should be reported relative to sounds recorded at zero flow.

Mesh:

Year:  1993        PMID: 8222817     DOI: 10.1378/chest.104.5.1518

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


  9 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.  Computerised analysis of auscultatory sounds associated with vascular patency of haemodialysis access.

Authors:  H A Mansy; S J Hoxie; N H Patel; R H Sandler
Journal:  Med Biol Eng Comput       Date:  2005-01       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.  Pharyngeal wall vibration detection using an artificial neural network.

Authors:  K Behbehani; F Lopez; F C Yen; E A Lucas; J R Burk; J P Axe; F Kamangar
Journal:  Med Biol Eng Comput       Date:  1997-05       Impact factor: 2.602

5.  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

6.  Significant differences in flow standardised breath sound spectra in patients with chronic obstructive pulmonary disease, stable asthma, and healthy lungs.

Authors:  L P Malmberg; L Pesu; A R Sovijärvi
Journal:  Thorax       Date:  1995-12       Impact factor: 9.139

Review 7.  Textile-Based Electronic Components for Energy Applications: Principles, Problems, and Perspective.

Authors:  Vishakha Kaushik; Jaehong Lee; Juree Hong; Seulah Lee; Sanggeun Lee; Jungmok Seo; Chandreswar Mahata; Taeyoon Lee
Journal:  Nanomaterials (Basel)       Date:  2015-09-07       Impact factor: 5.076

8.  Reproducibility of dynamically represented acoustic lung images from healthy individuals.

Authors:  T M Maher; M Gat; D Allen; A Devaraj; A U Wells; D M Geddes
Journal:  Thorax       Date:  2007-11-16       Impact factor: 9.139

9.  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 in total

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