Smart Stethoscope
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Date
2020
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
BIP! Indicators
Impulse
Average
Influence
Average
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Average
Abstract
In this study, a device named smart stethoscope that uses digital sensor technology for sound capture, active acoustics for noise cancellation and artificial intelligence (AI) for diagnosis of heart and lung diseases is developed to help the health workers to make accurate diagnoses. Furthermore, the respiratory diseases are classified by using Deep Learning and Long Short-Term Memory (LSTM) techniques whereas the probability of these diseases are obtained.
Description
Keywords
Amplifiers, Deep learning, Diagnosis, Filters, Heart and lung sounds, Long short-term memory, Stethoscope, Heart and lung sounds, Stethoscope, Diagnosis, Long short-term memory, Deep learning, Filters, Amplifiers
Turkish CoHE Thesis Center URL
Fields of Science
03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Scopus Q
OpenCitations Citation Count
N/A
Source
2020 Medical Technologies Congress (TIPTEKNO)
Volume
Issue
Start Page
1
End Page
4
PlumX Metrics
Citations
Scopus : 3
Captures
Mendeley Readers : 19
SCOPUS™ Citations
3
checked on Feb 07, 2026
Page Views
9
checked on Feb 07, 2026
Downloads
305
checked on Feb 07, 2026
Google Scholar™
OpenAlex FWCI
0.15459097
Sustainable Development Goals
3
GOOD HEALTH AND WELL-BEING
7
AFFORDABLE AND CLEAN ENERGY
11
SUSTAINABLE CITIES AND COMMUNITIES
