Agitation and/or crying are captured into the recordings, additionally to any existing ambient noise. This study focuses on characterizing the different types ...
Agitation and/or crying are captured into the recordings, additionally to any existing ambient noise. This study focuses on characterizing the different types ...
Apr 28, 2020 · Agitation and/or crying are captured into the recordings, additionally to any existing ambient noise. This study focuses on characterizing the ...
The result show that lung sound and abdominal sound are the greatest disturbances in realistic HS acquisition, which should be brought to the forefront.
Jul 1, 2013 · Characterization of noise contaminations in lung sound recordings. Creators. Emmanouilidou, Dimitra · Elhilal, Mounya. Description.
Different noise types were considered, including background talk, radio playing, subject's crying, electronic interference sounds and stethoscope displacement ...
Feb 29, 2024 · It presents a discussion on the elements of sound-based lung disease classification using machine learning algorithms.
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Oct 22, 2024 · Noise detection was the result of a good discrimination between uncontaminated lung sounds and both cough and noise episodes and a slightly ...
Performance evaluation and enhancement of lung sound recognition system in two real noisy environments · Characterization of noise contaminations in lung sound ...
This section provides an overview of commonly used respiratory sound datasets, highlighting their features and applications in developing models that ...