Detection of sputum by interpreting the time-frequency distribution of respiratory sound signal using image processing techniques.

ABSTRACT:

Motivation

Sputum in the trachea is hard to expectorate and detect directly for the patients who are unconscious, especially those in Intensive Care Unit. Medical staff should always check the condition of sputum in the trachea. This is time-consuming and the necessary skills are difficult to acquire. Currently, there are few automatic approaches to serve as alternatives to this manual approach.

Results

We develop an automatic approach to diagnose the condition of the sputum. Our approach utilizes a system involving a medical device and quantitative analytic methods. In this approach, the time-frequency distribution of respiratory sound signals, determined from the spectrum, is treated as an image. The sputum detection is performed by interpreting the patterns in the image t

SUBMITTER: Niu J 

PROVIDER: S-EPMC6192228 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature