Name
Abstract | ||
|---|---|---|
This paper presents a method to automatically estimate lung tidal volumes from the acoustic signals generated in the respiratory track. The signal is measured with an acoustic based sensor placed in the suprasternal notch. The method does not require any previous knowledge or modelling of the individual respiratory track, and relies on just one calibration parameter. The proposed algorithm is tested on 316 respiratory phases obtained from 4 volunteers. The subjects were simultaneously wearing a Wright respirometer which was used as a gold standard for comparison. Agreement between the two methods was assessed with Bland-Altman techniques. The results show the potential the technique has, integrated with a small acoustic sensor, for less-intrusive and even remote and/or continuous monitoring of lung tidal volumes. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/EMBC.2014.6943885 | EMBC |
Keywords | Field | DocType |
calibration,patient monitoring,wright respirometer,pneumodynamics,acoustic signals,lung,suprasternal notch,acoustic sensor,tracheal sounds,automatic lung tidal volumes estimation,continuous lung tidal volume monitoring,respiratory track,acoustic transducers,bioacoustics,bland-altman techniques | Computer science,Speech recognition | Conference |
Volume | ISSN | Citations |
2014 | 1557-170X | 1 |
PageRank | References | Authors |
0.43 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guangwei Chen | 1 | 1 | 1.11 |
| Ildefonso de la Cruz | 2 | 1 | 0.77 |
| E Rodriguez-Villegas | 3 | 103 | 19.22 |