Cough recognition in pneumoconiosis patients based on a flexible patch with an embedded ACC sensor for remote monitoring.

ABSTRACT:

Background

Many respiratory diseases such as pneumoconiosis require to close monitor the symptoms such as abnormal respiration and cough. This study introduces an automated, nonintrusive method for detecting cough events in clinical settings using a flexible chest patch with tri-axial acceleration sensors.

Methods

Twenty-five young healthy persons (hereinafter referred to as healthy adults) and twenty-five clinically diagnosed pneumoconiosis patients (hereinafter referred to as patients) participated in the experiment by wearing a flexible chest patch with an embedded ACC sensor. The top 56% of the highest scoring features were then combined using several feature selection algorithms to perform the cough classification task. The multicriteria decision making (MCDM) method wa

SUBMITTER: Wang J 

PROVIDER: S-EPMC11773742 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature