Automated breath sound analysis

M Oud; EH Dooijes

Automated breath sound analysis

M Oud^*, EH Dooijes

^*Corresponding author for this work

Decision Support Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

A new approach to analyzing breath sounds is presented. Detailed spectral information of breath sounds was used to investigate the possible relation between lung sound and airways obstruction. Tracheal sound recordings were obtained from two subjects during three sessions of allergen induced airways obstruction. The results of 1-nearest neighbour classification clearly demonstrated a relation between lung sound and lung function (FEV1), within the individual subject. Subjects were breathing normally and no air-flow information was used. The possibility of sound observation during normal breathing would provide a valuable diagnostic tool. From these preliminary results it may be carefully stated that "automated stethoscopy", tracking the onset of airways obstruction by means of computer aided sound analysis, has become more feasible.

Original language	English
Title of host publication	PROCEEDINGS OF THE 18TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 18, PTS 1-5
Editors	H Boom, C Robinson, W Rutten, M Neuman, H Wijkstra
Place of Publication	NEW YORK
Publisher	IEEE
Pages	990-992
Number of pages	3
ISBN (Print)	0-7803-3812-X
Publication status	Published - 1997
Event	18th Annual International Conference of IEEE Engineering-in-Medicine-amd-Biology-Society - AMSTERDAM, Netherlands Duration: 31 Oct 1996 → 3 Nov 1996

Publication series

Name	PROCEEDINGS OF THE ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY
Publisher	IEEE
Volume	18

Conference

Conference	18th Annual International Conference of IEEE Engineering-in-Medicine-amd-Biology-Society
Country/Territory	Netherlands
Period	31/10/96 → 3/11/96

Cite this

Oud, M., & Dooijes, EH. (1997). Automated breath sound analysis. In H. Boom, C. Robinson, W. Rutten, M. Neuman, & H. Wijkstra (Eds.), PROCEEDINGS OF THE 18TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 18, PTS 1-5 (pp. 990-992). (PROCEEDINGS OF THE ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY; Vol. 18). IEEE.

Oud, M ; Dooijes, EH. / Automated breath sound analysis. PROCEEDINGS OF THE 18TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 18, PTS 1-5. editor / H Boom ; C Robinson ; W Rutten ; M Neuman ; H Wijkstra. NEW YORK : IEEE, 1997. pp. 990-992 (PROCEEDINGS OF THE ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY).

@inproceedings{35621856ff4c4090a1ef590790985266,

title = "Automated breath sound analysis",

abstract = "A new approach to analyzing breath sounds is presented. Detailed spectral information of breath sounds was used to investigate the possible relation between lung sound and airways obstruction. Tracheal sound recordings were obtained from two subjects during three sessions of allergen induced airways obstruction. The results of 1-nearest neighbour classification clearly demonstrated a relation between lung sound and lung function (FEV1), within the individual subject. Subjects were breathing normally and no air-flow information was used. The possibility of sound observation during normal breathing would provide a valuable diagnostic tool. From these preliminary results it may be carefully stated that {"}automated stethoscopy{"}, tracking the onset of airways obstruction by means of computer aided sound analysis, has become more feasible.",

author = "M Oud and EH Dooijes",

year = "1997",

language = "English",

isbn = "0-7803-3812-X",

series = "PROCEEDINGS OF THE ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY",

publisher = "IEEE",

pages = "990--992",

editor = "H Boom and C Robinson and W Rutten and M Neuman and H Wijkstra",

booktitle = "PROCEEDINGS OF THE 18TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 18, PTS 1-5",

address = "United States",

note = "18th Annual International Conference of IEEE Engineering-in-Medicine-amd-Biology-Society ; Conference date: 31-10-1996 Through 03-11-1996",

}

Oud, M & Dooijes, EH 1997, Automated breath sound analysis. in H Boom, C Robinson, W Rutten, M Neuman & H Wijkstra (eds), PROCEEDINGS OF THE 18TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 18, PTS 1-5. PROCEEDINGS OF THE ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, vol. 18, IEEE, NEW YORK, pp. 990-992, 18th Annual International Conference of IEEE Engineering-in-Medicine-amd-Biology-Society, Netherlands, 31/10/96.

Automated breath sound analysis. / Oud, M; Dooijes, EH.
PROCEEDINGS OF THE 18TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 18, PTS 1-5. ed. / H Boom; C Robinson; W Rutten; M Neuman; H Wijkstra. NEW YORK: IEEE, 1997. p. 990-992 (PROCEEDINGS OF THE ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY; Vol. 18).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Automated breath sound analysis

AU - Oud, M

AU - Dooijes, EH

PY - 1997

Y1 - 1997

N2 - A new approach to analyzing breath sounds is presented. Detailed spectral information of breath sounds was used to investigate the possible relation between lung sound and airways obstruction. Tracheal sound recordings were obtained from two subjects during three sessions of allergen induced airways obstruction. The results of 1-nearest neighbour classification clearly demonstrated a relation between lung sound and lung function (FEV1), within the individual subject. Subjects were breathing normally and no air-flow information was used. The possibility of sound observation during normal breathing would provide a valuable diagnostic tool. From these preliminary results it may be carefully stated that "automated stethoscopy", tracking the onset of airways obstruction by means of computer aided sound analysis, has become more feasible.

AB - A new approach to analyzing breath sounds is presented. Detailed spectral information of breath sounds was used to investigate the possible relation between lung sound and airways obstruction. Tracheal sound recordings were obtained from two subjects during three sessions of allergen induced airways obstruction. The results of 1-nearest neighbour classification clearly demonstrated a relation between lung sound and lung function (FEV1), within the individual subject. Subjects were breathing normally and no air-flow information was used. The possibility of sound observation during normal breathing would provide a valuable diagnostic tool. From these preliminary results it may be carefully stated that "automated stethoscopy", tracking the onset of airways obstruction by means of computer aided sound analysis, has become more feasible.

M3 - Conference contribution

SN - 0-7803-3812-X

T3 - PROCEEDINGS OF THE ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY

SP - 990

EP - 992

BT - PROCEEDINGS OF THE 18TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 18, PTS 1-5

A2 - Boom, H

A2 - Robinson, C

A2 - Rutten, W

A2 - Neuman, M

A2 - Wijkstra, H

PB - IEEE

CY - NEW YORK

T2 - 18th Annual International Conference of IEEE Engineering-in-Medicine-amd-Biology-Society

Y2 - 31 October 1996 through 3 November 1996

ER -

Oud M, Dooijes EH. Automated breath sound analysis. In Boom H, Robinson C, Rutten W, Neuman M, Wijkstra H, editors, PROCEEDINGS OF THE 18TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 18, PTS 1-5. NEW YORK: IEEE. 1997. p. 990-992. (PROCEEDINGS OF THE ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY).

Automated breath sound analysis

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