Customized Spectro-Temporal CNN Feature Extraction and ELM-Based Classifier for Accurate Respiratory Obstruction Detection

Customized Spectro-Temporal CNN Feature Extraction and ELM-Based Classifier for Accurate Respiratory Obstruction Detection

The accurate prediction based on lung auscultation of respiratory obstruction conditions (ROC), such as chronic obstructive pulmonary disease (COPD) and asthma, is a challenging task due to the availability of small datasets, ambient noise, variability between patients, high computational power, ove...

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Bibliographic Details
Main Authors: M. Muthulakshmi, K. Venkatesan, Syarifah Bahiyah Rahayu, K. L. Nayana Sree
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
CNN enhanced time-frequency features
ELM
feature fusion
respiratory obstruction condition
Online Access:https://ieeexplore.ieee.org/document/11044320/
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