Lung Sound Classification using Enhanced MFCC, Histogram, and Data Mining
Chronic illnesses such as respiratory diseases are among the major health threats globally. Tuberculosis (TB) is a major public health concern worldwide and the world’s second most common cause of death from infectious disease after HIV/AIDs. Fortunately, with the advent of the Internet of Things (I...
Saved in:
Main Author: | Ingco, Wally Enrico |
---|---|
Format: | text |
Published: |
Archīum Ateneo
2020
|
Subjects: | |
Online Access: | https://archium.ateneo.edu/theses-dissertations/473 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Ateneo De Manila University |
Similar Items
-
Performance Evaluation of an Intelligent Lung Sound Classifier Based on an Enhanced MFCC Model
by: Ingco, Wally Enrico M, et al.
Published: (2021) -
Development of a Spectral Feature Extraction using Enhanced MFCC for Respiratory Sound Analysis
by: Reyes, Rosula SJ, et al.
Published: (2019) -
Improving the Classification of LANDSAT-8 OLI Images Using Neighborhood Median Pixel Values
by: Magpantay, Abraham
Published: (2020) -
Assessment of the Retention and Resorption of Heavy Metals in the Mangrove Species Avicennia marina (Forsk.) Contaminated with Mining
EFFLUENTS
by: Capua, Jr., Luisito
Published: (2019) -
Automated Data Processing and Analysis of Rain Acoustic Sensor Data
by: Aquino, Danilyn Joy
Published: (2021)