用于膈肌呼吸活动监测的肺活量计和表面肌电图无线传感器数据集。
Dataset from spirometer and sEMG wireless sensor for diaphragmatic respiratory activity monitoring.
作者信息
Biagetti Giorgio, Carnielli Virgilio Paolo, Crippa Paolo, Falaschetti Laura, Scacchia Valentina, Scalise Lorenzo, Turchetti Claudio
机构信息
Department of Information Engineering, Polytechnic University of Marche, Ancona, Italy.
Maternal and Child Health Institute, Polytechnic University of Marche and Salesi Hospital, Ancona, Italy.
出版信息
Data Brief. 2019 Jul 5;25:104217. doi: 10.1016/j.dib.2019.104217. eCollection 2019 Aug.
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.
我们引入了一个数据集，以深入了解膈肌表面肌电图（sEMG）信号与呼吸气流之间的关系。所呈现的数据最初是为意大利安科纳马尔凯理工大学信息工程系与工业工程和数学科学系联合开展的一个研究项目收集的。本文描述了从8名受试者记录的数据，包括用于膈肌呼吸活动监测的8个气流信号和8个表面肌电图（sEMG）信号，采样频率为2 kHz。
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