Analysis speech of polypus patients based on channel parameters and fuzzy logic systems

To distinguish the polypus patients, the spectrum map of the speech samples is used to analyze. Compared the spectrum map with impulse response in wireless communication channel, statistical characteristic root-mean square-delay spread (RMSD) and standard deviation (SD) are employed to describe the speech frequency domain characteristic. Fuzzy logic system (FLS) is used to make polypus patients diagnosis. RMSD and SD are used as two antecedents and fuzzy rules are designed based on the data we collected from polypus patients and normal people. Based on the real data, we demonstrate that the FLS could be used in polypus patients´ diagnosis with very low probability of miss detection and 0% false alarm rate.