A novel PPG-based SpO2 detection approach via audio I/O of personal handset

[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.