The next step is to take classifiers for the purpose of their recognition. So secondly a brief observation on various features and evaluation process is done. Recent research has increased the still limited under- standing about the generation of continuous adventitious lung sounds. The best feature selection is required to reduce the computational cost and to improve and enhance the accuracy. The whole paper is organized sequentially in which at first normal and adventitious lung sound is defined then adventitious lung sound along with its characteristic which is obtained by FFT, for classification of disease. Researchers have proved that, for the classification of lung sound, various processes are involved and then, to identify the normal and adventitious lung sound classifiers are needed.

Now a days there are various reasons which affect the proper functioning of human lungs. Accurate identification and docu- mentation of lung sounds is needed. Lungs are the vital component of human body. Chest auscultation is an important part of cardiopulmonary diagnostics. Respiratory sound (RS) attributes and their analyses structure a fundamental piece of pneumonic pathology, and it gives symptomatic data regarding a patients lung.

Adventitious lung sounds