Archives
International Journal of Zoology and Applied Biosciences Research Article
Ai-driven cough surveillance system for continuous health monitoring
Baladevaguru G, Gokul C N, Swathi T, Senthilkumar GP and Palthangam Ganesan
Year : 2025 | Pages: 455-458
Received on: 25/09/2025
Revised on: 22/10/2025
Accepted on: 21/11/2025
Published on: 01/12/2025
-
Baladevaguru G, Gokul C N, Swathi T, Senthilkumar GP and Palthangam Ganesan( 2025).
Ai-driven cough surveillance system for continuous health monitoring
. International Journal of Zoology and Applied Biosciences, 10( 6), 455-458.
-
click to view the cite format
Abstract
Cough is a primary symptom of numerous respiratory conditions, including asthma, chronic obstructive pulmonary disease (COPD), and viral infections such as COVID-19. Timely and accurate detection of cough patterns can significantly aid in early diagnosis, disease management, and public health surveillance. This study proposes an AI-driven cough surveillance system that integrates Internet of Things (IoT) sensors, acoustic signal processing, and machine learning algorithms for continuous health monitoring. The system captures audio signals, extracts key features, and classifies cough types with high precision. Experimental results demonstrate the capability of the system to distinguish between different cough patterns, providing real-time insights into respiratory health. The proposed system has potential applications in clinical diagnostics, remote patient monitoring, and epidemic tracking, enhancing proactive healthcare delivery.
Keywords
AI-driven cough detection, Continuous health monitoring, IoT-based healthcare, Respiratory disease.
-
Full Article PDF (
9)
- View HTML Article
Copy Rights
© The Author(s) 2025. This article is published by International Journal of Zoology and Applied Biosciences under the terms of the Creative Commons Attribution 4.0 International License (creativecommons.org), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
