A novel PPG-based SpO2 detection approach via audio I/O of personal handset
暂无分享,去创建一个
[1] John Allen. Photoplethysmography and its application in clinical physiological measurement , 2007, Physiological measurement.
[2] Yaguo Lei,et al. A review on empirical mode decomposition in fault diagnosis of rotating machinery , 2013 .
[3] Anton Vonk-Noordegraaf,et al. Stroke volume response during exercise measured by acetylene uptake and MRI , 2007, Physiological measurement.
[4] Danilo P. Mandic,et al. Empirical Mode Decomposition-Based Time-Frequency Analysis of Multivariate Signals: The Power of Adaptive Data Analysis , 2013, IEEE Signal Processing Magazine.
[5] N. Huang,et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.
[6] Domenico Luca Carnì,et al. Setting-up of PPG scaling factors for SpO2% evaluation by smartphone , 2016, 2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA).
[7] H. Asada,et al. Utility of the Photoplethysmogram in Circulatory Monitoring , 2008, Anesthesiology.
[8] Shankar Muthu Krishnan,et al. ECG signal conditioning by morphological filtering , 2002, Comput. Biol. Medicine.
[9] Boqiang Liu,et al. ECG Signal Denoising Based on Morphological Filtering , 2011, 2011 5th International Conference on Bioinformatics and Biomedical Engineering.