BIDMC Blood Oxygen Saturation Dataset (32 seconds window)
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This dataset is part of the Monash, UEA & UCR time series regression repository. http://tseregression.org/ The goal of this dataset is to estimate blood oxygen saturation level using PPG and ECG data. This dataset contains 7949 time series obtained from the Physionet's BIDMC PPG and Respiration dataset, which was extracted from the much larger MIMIC II waveform database. Please refer to https://physionet.org/content/bidmc/1.0.0/ for more details Relevant papers Pimentel, M.A.F. et al. Towards a Robust Estimation of Respiratory Rate from Pulse Oximeters. IEEE Transactions on Biomedical Engineering, 64(8), pp.1914-1923, 2016. [DOI: 10.1109/TBME.2016.2613124](http://doi.org/10.1109/TBME.2016.2613124). Citation request Pimentel, M.A.F. et al. Towards a Robust Estimation of Respiratory Rate from Pulse Oximeters. IEEE Transactions on Biomedical Engineering, 64(8), pp.1914-1923, 2016. [DOI: 10.1109/TBME.2016.2613124](http://doi.org/10.1109/TBME.2016.2613124). Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220.
本数据集隶属于Monash、UEA及UCR时间序列回归库（Monash, UEA & UCR time series regression repository），相关访问网址为http://tseregression.org/。 本数据集的任务为利用光电容积脉搏波描记法（Photoplethysmography, PPG）与心电图（Electrocardiogram, ECG）数据估算血氧饱和度水平。 本数据集包含7949条时间序列，其数据源为PhysioNet旗下的BIDMC PPG与呼吸数据集，该数据集源自规模更大的MIMIC II波形数据库。 如需获取更多详细信息，请访问https://physionet.org/content/bidmc/1.0.0/。 相关文献： Pimentel, M.A.F. 等人. 基于脉搏血氧仪的呼吸频率稳健估算方法. 《IEEE生物医学工程汇刊》, 2016, 64(8): 1914-1923. DOI: 10.1109/TBME.2016.2613124（访问链接：http://doi.org/10.1109/TBME.2016.2613124）。 引用要求： Pimentel, M.A.F. 等人. 基于脉搏血氧仪的呼吸频率稳健估算方法. 《IEEE生物医学工程汇刊》, 2016, 64(8): 1914-1923. DOI: 10.1109/TBME.2016.2613124（访问链接：http://doi.org/10.1109/TBME.2016.2613124）。 Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P.C., Mark, R. 等. (2000). PhysioBank、PhysioToolkit与PhysioNet：面向复杂生理信号的新型研究资源组件. 《循环》[在线], 101(23): e215–e220。
