Hierarchical Embedded System Based on FPGA for Classification of Respiratory Diseases

Hierarchical Embedded System Based on FPGA for Classification of Respiratory Diseases

Objectives: This research aims to design and develop a hierarchical embedded system that utilizes respiratory sound features for diagnosing COPD and other respiratory disorders. The system is engineered to achieve high accuracy and efficiency while minimizing energy consumption, making it suitable f...

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Bibliographic Details
Main Authors: Trong-Thanh Han, Kien Le Trung, Phuong Nguyen Anh, Anh Do Trung
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
FPGA
respiratory disease diagnosis
respiratory sound
signal transformation and parallel computing
Online Access:https://ieeexplore.ieee.org/document/11014092/
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