Paper Title
AI SOUND RECOGNITION ON ASTHMA MEDICATION ADHERENCE:EVALUATION USING RDA BENCHMARK SUITE
Article Identifiers
Authors
D YUVASREE , P DEVIKA , R VINODHINI
Keywords
Artificial Intelligence(AI), Asthma medication adherence, RDA Benchmark Suite, Real-time monitoring, Healthcare outcomes
Abstract
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.
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How To Cite
"AI SOUND RECOGNITION ON ASTHMA MEDICATION ADHERENCE:EVALUATION USING RDA BENCHMARK SUITE", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 3, page no.f763-f769, March-2024, Available :https://ijnrd.org/papers/IJNRD2403588.pdf
Issue
Volume 9 Issue 3, March-2024
Pages : f763-f769
Other Publication Details
Paper Reg. ID: IJNRD_216706
Published Paper Id: IJNRD2403588
Downloads: 000121169
Research Area: Bio Medical EngineeringÂ
Country: CHENNAI, TAMIL NADU, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2403588.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403588
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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