2009
DOI: 10.1007/s11265-009-0435-3
|View full text |Cite
|
Sign up to set email alerts
|

Localizing Lung Sounds: Eigen Basis Decomposition for Localizing Sources Within a Circular Array of Sensors

Abstract: Lung disorders or injury can result in changes in the production of lung sounds both spectrally and regionally. Localizing these lung sounds can provide information to the extent and location of the disorder. Difference in arrival times at a set of sensors and triangulation were previously proposed for acoustic imaging of the chest. We propose two algorithms for acoustic imaging using a set of eigen basis functions of the Helmholtz wave equation. These algorithms remove the sensor location contribution from th… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
6
0

Year Published

2010
2010
2020
2020

Publication Types

Select...
4
2

Relationship

2
4

Authors

Journals

citations
Cited by 6 publications
(6 citation statements)
references
References 35 publications
0
6
0
Order By: Relevance
“…1 This modal decomposition has the advantage of separating components dependent on the source position form those dependent on the sensor position and thus found application in direction of arrival (DOA) estimation 16 and in biomedical acoustic source localization within circular sensor arrays. 17,18 …”
Section: A Wavefield Decompositionmentioning
confidence: 99%
See 2 more Smart Citations
“…1 This modal decomposition has the advantage of separating components dependent on the source position form those dependent on the sensor position and thus found application in direction of arrival (DOA) estimation 16 and in biomedical acoustic source localization within circular sensor arrays. 17,18 …”
Section: A Wavefield Decompositionmentioning
confidence: 99%
“…By comparing (17) to (10), the spherical Fourier transform of the aperture response for order n and mode m is (15). The advantage of choosing separable basis expansions for the radial and angular components in both the wavefield modal expansion and the spatial distribution expansion allows the integration over a spherical volume V to be separated to two independent integrals (16).…”
Section: Spherical Fourier Bessel Expansion Of Spatial Distributionmentioning
confidence: 99%
See 1 more Smart Citation
“…Kompis et al proposed a method to locate lung sound and derive an acoustic image [10]. Salehin et al used eigen-basis decomposition to locate lung sound with a circular array of sensors [11]. McKee and Goubran compared an energy-based model (identifying the location of maximum power) with a TOA model for sound localization in the human thorax [12].…”
Section: Introductionmentioning
confidence: 99%
“…15 microphones for each of the selected zones are suggested. 12 Calibration Since multiple measurements are needed simultaneously to provide active feedback of the reproduced soundfield, a microphone gain calibration procedure must be pre-conducted. We can first select a loudspeaker with normal functionality.…”
Section: Methodsmentioning
confidence: 99%