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    <responseDate>2026-10-15T09:30:54Z</responseDate>
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            <header>
                <identifier>oai:data.mendeley.com/fr7zvy8j5s.1</identifier>
                <datestamp>2022-03-02T11:01:51Z</datestamp>
            </header>
            <metadata><oai_dc:dc xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <dc:creator>Dutta, Malay Kishore</dc:creator>
    <dc:title>Pulmonary (Lungs)  Sound</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>Data is collected and ground truth classification are performed by Fortis Hospital, Vasant Kunj, New Delhi, India. The pulmonary sound dataset is arranged in two sets: a normal set (11.28%) representing recordings obtained from healthy subjects and an abnormal set (88.72%) containing recordings from pulmonary patients. The lung sound was recorded with an e-stethoscope connected to a laptop via an amplifier. This setup contains e-stethoscope having a chest piece which is contacted to subject having a microphone to record signal (sampling rate 44,100 Hz) connected to a signal amplifier. The signal amplifier kit can specifically amplifies the sound range (70–2000 Hz) for - lung sounds (having amplifier controller, frequency con- troller) connected to earpiece (for listening live recordings) and laptop. A laptop is used to record the signal where the E-stethoscope is connected using an audio input. The dataset contains audio samples which are in a.wav audio format having a single channel with 16 bit per sample, 44,100 Hz sampling rate and 705kbps Bitrate. Each file is 10 s long. 
The data can be used for research purpose only. It is not for commercial purpose. 
Anyone using this data for any Publication need to cite the article: 
Baghel, N., Nangia, V. &amp; Dutta, M.K. ALSD-Net: Automatic lung sounds diagnosis network from pulmonary signals. Neural Comput &amp; Applic 33, 17103–17118 (2021). https://doi.org/10.1007/s00521-021-06302-1
</dc:description>
    <dc:subject>Biomedical Signal Processing</dc:subject>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/fr7zvy8j5s.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/fr7zvy8j5s.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
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    <dc:relation>https://data.mendeley.com/datasets/fr7zvy8j5s</dc:relation>
    <dc:date>2022-03-02T11:01:51Z</dc:date>
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