Smart Stethoscope
| gdc.relation.journal | 2020 Medical Technologies Congress | en_US |
| dc.contributor.author | Türker, Mehmet Nasuhcan | |
| dc.contributor.author | Çagan, Yagiz Can | |
| dc.contributor.author | Yıldırım, Batuhan | |
| dc.contributor.author | Demirel, Mücahit | |
| dc.contributor.author | Özmen, Atilla | |
| dc.contributor.author | Tander, Baran | |
| dc.contributor.author | Çevik, Mesut | |
| dc.contributor.other | Computer Engineering | |
| dc.contributor.other | Electrical-Electronics Engineering | |
| dc.contributor.other | 05. Faculty of Engineering and Natural Sciences | |
| dc.contributor.other | 01. Kadir Has University | |
| dc.date.accessioned | 2021-01-28T09:34:43Z | |
| dc.date.available | 2021-01-28T09:34:43Z | |
| dc.date.issued | 2020 | |
| dc.description.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. | en_US |
| dc.identifier.citationcount | 0 | |
| dc.identifier.doi | 10.1109/TIPTEKNO50054.2020.9299229 | en_US |
| dc.identifier.isbn | 978-172818073-1 | |
| dc.identifier.scopus | 2-s2.0-85099450861 | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.12469/3757 | |
| dc.identifier.uri | https://doi.org/10.1109/TIPTEKNO50054.2020.9299229 | |
| dc.language.iso | en | en_US |
| dc.publisher | IEEE | en_US |
| dc.relation.ispartof | 2020 Medical Technologies Congress (TIPTEKNO) | |
| dc.rights | info:eu-repo/semantics/embargoedAccess | en_US |
| dc.subject | Amplifiers | en_US |
| dc.subject | Deep learning | en_US |
| dc.subject | Diagnosis | en_US |
| dc.subject | Filters | en_US |
| dc.subject | Heart and lung sounds | en_US |
| dc.subject | Long short-term memory | en_US |
| dc.subject | Stethoscope | en_US |
| dc.title | Smart Stethoscope | en_US |
| dc.type | Conference Object | en_US |
| dspace.entity.type | Publication | |
| gdc.author.institutional | Çevik, Mesut | en_US |
| gdc.author.institutional | Çevik, Mesut | |
| gdc.author.institutional | Özmen, Atilla | en_US |
| gdc.author.institutional | Özmen, Atilla | |
| gdc.author.institutional | Yıldırım, Batuhan | en_US |
| gdc.author.institutional | Tander, Baran | |
| gdc.author.institutional | Türker, Mehmet Nasuhcan | en_US |
| gdc.bip.impulseclass | C5 | |
| gdc.bip.influenceclass | C5 | |
| gdc.bip.popularityclass | C5 | |
| gdc.coar.access | embargoed access | |
| gdc.coar.type | text::conference output | |
| gdc.description.department | Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | en_US |
| gdc.description.endpage | 4 | |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| gdc.description.startpage | 1 | |
| gdc.identifier.openalex | W3121240627 | |
| gdc.identifier.wos | WOS:000659419900017 | en_US |
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| gdc.oaire.keywords | Heart and lung sounds | |
| gdc.oaire.keywords | Stethoscope | |
| gdc.oaire.keywords | Diagnosis | |
| gdc.oaire.keywords | Long short-term memory | |
| gdc.oaire.keywords | Deep learning | |
| gdc.oaire.keywords | Filters | |
| gdc.oaire.keywords | Amplifiers | |
| gdc.oaire.popularity | 1.652743E-9 | |
| gdc.oaire.publicfunded | false | |
| gdc.oaire.sciencefields | 03 medical and health sciences | |
| gdc.oaire.sciencefields | 0302 clinical medicine | |
| gdc.oaire.sciencefields | 0202 electrical engineering, electronic engineering, information engineering | |
| gdc.oaire.sciencefields | 02 engineering and technology | |
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