Paper Title

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

Article Identifiers

Registration ID: IJNRD_216706

Published ID: IJNRD2403588

DOI: Click Here to Get

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.

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 Engineering 

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

Publisher: IJNRD (IJ Publication) Janvi Wave

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Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area