 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (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)
|
Issue: March 2026
Volume 11 | Issue 3
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21508
Article Published : 8513
Total Authors : 22399
Total Reviewer : 805
Total Countries : 158
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Review of Machine Learning Algorithms for Lung Sound Separation |
| Authors Name: | Soumya C S , Raghavendra C K |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_182536
|
| Published Paper Id: | IJRTI2206282 |
| Published In: | Volume 7 Issue 6, June-2022 |
| DOI: | |
| Abstract: | The medical field is rapidly increasing with technology and the smart devices from IOT (internet of Things) has been influencing the devices used by medical practitioners. The devices such as blood pressure monitor, glucometer, ketones testing kits, fertility kits etc., have all been made smart by combining the software with Machine learning (ML) and Artificial Intelligence (AI). The next step for smart devices in medical field is the stethoscope. The smart stethoscope has many functions which are recording the sounds of the cardiovascular region, processing the sound for noise, analysing the sound for abnormalities or check-ups based on the way the stethoscope is designed, optimal position for stethoscope to record maximum sounds of heart or lungs. The major hindrance in this development is that the sound captured through the stethoscope is a mixture of sounds such as abdominal sounds, digestion sounds, burp sounds, bowel sounds, valve sounds etc., which mask the actual sound that needs to be recognized. This paper will review the various techniques to separate the lung and heart sounds which can be then used for analysis. |
| Keywords: | Heart, Lung, Mel frequency, non-negative matrix factorization (NMF), Sound source separation, Short-term spectra, Adaptive algorithm, blind source separation |
| Cite Article: | "Review of Machine Learning Algorithms for Lung Sound Separation", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 6, page no.1884 - 1888, June-2022, Available :http://www.ijrti.org/papers/IJRTI2206282.pdf |
| Downloads: | 000205198 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2206282
Registration ID:182536
Published In: Volume 7 Issue 6, June-2022
DOI (Digital Object Identifier):
Page No: 1884 - 1888 Country: Benguluru, Karnataka, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2206282 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2206282 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2026 - All Rights Reserved - IJRTI | |||