AI SOUND RECOGNITION ON ASTHMA MEDICATION ADHERENCE:EVALUATION USING RDA BENCHMARK SUITE

Registration ID: IJNRD_216706

Published ID: IJNRD2403588

DOI: Click Here to Get

D YUVASREE , P DEVIKA , R VINODHINI

Artificial Intelligence(AI), Asthma medication adherence, RDA Benchmark Suite, Real-time monitoring, Healthcare outcomes

This project explores the application of artificial intelligence(AI) for recognizing sounds indicative of asthma medication adherence. Utilizing the RDA Benchmark suite, we evaluates the performance of our AI sound recognition system. By detecting relevant sounds like inhaler usage or coughing, the system aim to monitor and assess patient adherence to asthma medication regimens. Robust evaluation against established benchmark enables validation of the systems accuracy and the effectiveness. Such technology holds promise for enhancing healthcare outcomes by providing real-time monitoring and support for asthma patients in managing their condition. Our results show that AI can accurately detect these medication sounds. This suggests that AI could be helpful in making sure people with asthma take their medication as prescribed. This could be a big step in managing asthma and improving people's health.

Published Paper   E-Certificate

D YUVASREE, P DEVIKA, & R VINODHINI (March-2024). AI SOUND RECOGNITION ON ASTHMA MEDICATION ADHERENCE:EVALUATION USING RDA BENCHMARK SUITE. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(3), f763-f769. https://ijnrd.org/papers/IJNRD2403588.pdf

Volume 9 Issue 3, March-2024

Pages : f763-f769

Paper Reg. ID: IJNRD_216706

Published Paper Id: IJNRD2403588

Downloads: 000121982

Research Area: Bio Medical Engineering 

Country: CHENNAI, TAMIL NADU, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2403588.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403588

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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Call For Paper - Volume 10 | Issue 10 | October 2025

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