Title :
Monitoring of separate lung ventilation in anesthesia and intensive care
Author :
Sod-Moriah, G. ; Gelber, O. ; Gurman, G. ; Cohen, A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
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%.
Keywords :
acoustic signal processing; bioacoustics; lung; medical signal processing; patient care; patient diagnosis; patient monitoring; pattern classification; pneumodynamics; Left Lung Intubation; Right Lung Intubation; Tracheal Intubation; anesthesia; diagnosis; dogs; intensive care; lung sounds; mean classification accuracy; monitoring; pulmonary function; separate lung ventilation; ventilation monitoring; very low latency monitoring device; Acoustic signal detection; Anesthesia; Computerized monitoring; Delay; Dogs; Lungs; Microphones; Pulse measurements; Stethoscope; Ventilation;
Conference_Titel :
Electrical and Electronics Engineers in Israel, 1995., Eighteenth Convention of
Conference_Location :
Tel Aviv, Israel
Print_ISBN :
0-7803-2498-6
DOI :
10.1109/EEIS.1995.514155
