Dataset from spirometer and sEMG wireless sensor for diaphragmatic respiratory activity monitoring

We introduce a dataset to provide insights into the relationship between the diaphragm surface electromyographic (sEMG) signal and the respiratory air flow. The data presented had been originally collected for a research project jointly developed by the Department of Information Engineering and the...

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Bibliographic Details
Published inData in brief Vol. 25; p. 104217
Main Authors Biagetti, Giorgio, Carnielli, Virgilio Paolo, Crippa, Paolo, Falaschetti, Laura, Scacchia, Valentina, Scalise, Lorenzo, Turchetti, Claudio
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier Inc 01.08.2019
Elsevier
Subjects
Diaphragm surface electromyographic signal
Engineering
Respiratory activity monitoring
sEMG wireless sensor
Spirometer signal
Respiratory activity monitoring
Diaphragm surface electromyographic signal
Spirometer signal
sEMG wireless sensor
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Summary:We introduce a dataset to provide insights into the relationship between the diaphragm surface electromyographic (sEMG) signal and the respiratory air flow. The data presented had been originally collected for a research project jointly developed by the Department of Information Engineering and the Department of Industrial Enginering and Mathematical Sciences, Polytechnic University of Marche, Ancona, Italy. This article describes data recorded from 8 subjects, and includes 8 air flow and 8 surface electromyographic (sEMG) signals for diaphragmatic respiratory activity monitoring, measured with a sampling frequency of 2 kHz.
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ISSN:2352-3409
2352-3409
DOI:10.1016/j.dib.2019.104217