Monitoring of separate lung ventilation in anesthesia and intensive care

G. Sod-Moriah; O. Gelber; G. Gurman; A. Cohen

Monitoring of separate lung ventilation in anesthesia and intensive care

G. Sod-Moriah
, O. Gelber
, G. Gurman
, A. Cohen

Research output: Contribution to conference › Paper › peer-review

1 Scopus citations

Abstract

Analysis of lung sounds for monitoring and diagnosis of pulmonary function is well known. The application of these techniques to ventilation monitoring during anesthesia or in intensive care, may prove a convenient, accurate and very low latency monitoring device. A prototype of such a system is described. The system is able to monitor the current state of ventilation and automatically classify among three types: Tracheal Intubation (TRI), Left Lung Intubation (LLI) and Right Lung Intubation (RLI). Preliminary experiments, performed on dogs, show mean classification accuracy of 90%.

Original language	English
Pages	4.2.2/1-5
State	Published - 1 Jan 1995
Event	Proceedings of the 18th Convention of Electrical and Electronics Engineers in Israel - Tel Aviv, Isr Duration: 7 Mar 1995 → 8 Mar 1995

Conference

Conference	Proceedings of the 18th Convention of Electrical and Electronics Engineers in Israel
City	Tel Aviv, Isr
Period	7/03/95 → 8/03/95

ASJC Scopus subject areas

General Engineering

Cite this

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title = "Monitoring of separate lung ventilation in anesthesia and intensive care",

abstract = "Analysis of lung sounds for monitoring and diagnosis of pulmonary function is well known. The application of these techniques to ventilation monitoring during anesthesia or in intensive care, may prove a convenient, accurate and very low latency monitoring device. A prototype of such a system is described. The system is able to monitor the current state of ventilation and automatically classify among three types: Tracheal Intubation (TRI), Left Lung Intubation (LLI) and Right Lung Intubation (RLI). Preliminary experiments, performed on dogs, show mean classification accuracy of 90\%.",

author = "G. Sod-Moriah and O. Gelber and G. Gurman and A. Cohen",

year = "1995",

month = jan,

day = "1",

language = "English",

pages = "4.2.2/1--5",

note = "Proceedings of the 18th Convention of Electrical and Electronics Engineers in Israel ; Conference date: 07-03-1995 Through 08-03-1995",

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TY - CONF

T1 - Monitoring of separate lung ventilation in anesthesia and intensive care

AU - Sod-Moriah, G.

AU - Gelber, O.

AU - Gurman, G.

AU - Cohen, A.

PY - 1995/1/1

Y1 - 1995/1/1

N2 - Analysis of lung sounds for monitoring and diagnosis of pulmonary function is well known. The application of these techniques to ventilation monitoring during anesthesia or in intensive care, may prove a convenient, accurate and very low latency monitoring device. A prototype of such a system is described. The system is able to monitor the current state of ventilation and automatically classify among three types: Tracheal Intubation (TRI), Left Lung Intubation (LLI) and Right Lung Intubation (RLI). Preliminary experiments, performed on dogs, show mean classification accuracy of 90%.

AB - Analysis of lung sounds for monitoring and diagnosis of pulmonary function is well known. The application of these techniques to ventilation monitoring during anesthesia or in intensive care, may prove a convenient, accurate and very low latency monitoring device. A prototype of such a system is described. The system is able to monitor the current state of ventilation and automatically classify among three types: Tracheal Intubation (TRI), Left Lung Intubation (LLI) and Right Lung Intubation (RLI). Preliminary experiments, performed on dogs, show mean classification accuracy of 90%.

UR - https://www.scopus.com/pages/publications/0029218608

M3 - Paper

AN - SCOPUS:0029218608

SP - 4.2.2/1-5

T2 - Proceedings of the 18th Convention of Electrical and Electronics Engineers in Israel

Y2 - 7 March 1995 through 8 March 1995

ER -

Monitoring of separate lung ventilation in anesthesia and intensive care

Abstract

Conference

ASJC Scopus subject areas

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