Çevik, MesutTürker, Mehmet NasuhcanÖzmen, AtillaÇagan, Yagiz CanTander, BaranYıldırım, BatuhanDemirel, MücahitÖzmen, AtillaTander, BaranÇevik, Mesut2021-01-282021-01-2820200978-172818073-1https://hdl.handle.net/20.500.12469/3757https://doi.org/10.1109/TIPTEKNO50054.2020.9299229In 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.eninfo:eu-repo/semantics/embargoedAccessAmplifiersDeep learningDiagnosisFiltersHeart and lung soundsLong short-term memoryStethoscopeConference ObjectWOS:00065941990001710.1109/TIPTEKNO50054.2020.92992292-s2.0-85099450861N/AN/A