Using K-Nearest Neighbor Classification to Diagnose Abnormal Lung Sounds

Using K-Nearest Neighbor Classification to Diagnose Abnormal Lung Sounds

A reported 30% of people worldwide have abnormal lung sounds, including crackles, rhonchi, and wheezes. To date, the traditional stethoscope remains the most popular tool used by physicians to diagnose such abnormal lung sounds, however, many problems arise with the use of a stethoscope, including t...

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Bibliographic Details
Main Authors: Chin-Hsing Chen, Wen-Tzeng Huang, Tan-Hsu Tan, Cheng-Chun Chang, Yuan-Jen Chang
Format: Article
Language:English
Published: MDPI AG 2015-06-01
Series:Sensors
Subjects:
K-means algorithm
K-nearest neighbor
lung sound
MFCC
stethoscope
Online Access:http://www.mdpi.com/1424-8220/15/6/13132

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http://www.mdpi.com/1424-8220/15/6/13132

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