Data sets
收藏DataCite Commons2023-01-31 更新2024-08-18 收录
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资源简介:
All the features extracted from PPG. <br> If you use this dataset, please cite the following papers: <br> 1. Motin, M. A., C. K. Karmakar, T. Penzel and M. Palaniswami (2019). Sleep-Wake Classification using Statistical Features Extracted from Photoplethysmographic Signals. 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE. 2. Motin, M. A., C. Karmakar, M. Palaniswami and T. Penzel (2020). "Photoplethysmographic-based automated sleep–wake classification using a support vector machine." Physiological Measurement <strong>41</strong>(7): 075013.
所有从光电容积脉搏波(Photoplethysmography, PPG)中提取的特征。<br>若使用本数据集,请引用以下文献:<br>1. Motin, M. A.、C. K. Karmakar、T. Penzel 与 M. Palaniswami(2019)。《基于从光电容积脉搏波信号中提取的统计特征实现睡眠-觉醒分类》。2019年第41届IEEE工程医学与生物医学学会年度国际会议(EMBC),IEEE出版社。<br>2. Motin, M. A.、C. Karmakar、M. Palaniswami 与 T. Penzel(2020)。《基于光电容积脉搏波的支持向量机自动化睡眠-觉醒分类》。《生理测量》(Physiological Measurement)第41卷第7期:075013。
提供机构:
figshare
创建时间:
2023-01-31
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