|
[1]
|
Ahlstrom, C., Johansson, A., Uhlin, F., Länne, T. and Ask, P. (2005) Noninvasive Investigation of Blood Pressure Changes Using the Pulse Wave Transit Time: A Novel Approach in the Monitoring of Hemodialysis Patients. Journal of Artificial Organs, 8, 192-197. [Google Scholar] [CrossRef] [PubMed]
|
|
[2]
|
Choi, Y., Zhang, Q. and Ko, S. (2013) Noninvasive Cuffless Blood Pressure Estimation Using Pulse Transit Time and Hilbert-Huang Transform. Computers & Electrical Engineering, 39, 103-111. [Google Scholar] [CrossRef]
|
|
[3]
|
Teng, X.F. and Zhang, Y.T. (2016) An Evaluation of a PTT-Based Method for Noninvasive and Cuffless Estimation of Arterial Blood Pressure. 28th Annual International Conference of the IEEE En-gineering in Medicine and Biology Society, 30 August-3 September 2006, New York, NY, 6049-6052.
|
|
[4]
|
Mccombie, D.B., Reisner, A.T. and Asada, H.H. (2006) Adaptive Blood Pressure Estimation from Wearable PPG Sensors Using Peripheral Artery Pulse Wave Velocity Measurements and Multi-Channel Blind Identification of Local Arterial Dynamics. 28th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 30 August-3 September 2006, New York, NY, 3521. [Google Scholar] [CrossRef]
|
|
[5]
|
Westerhof, N., Lankhaar, J.W. and Westerhof, B.E. (2009) The Arterial Windkessel. Medical & Biological Engineering & Computing, 47, 131-141. [Google Scholar] [CrossRef] [PubMed]
|
|
[6]
|
Choudhury, A.D., Banerjee, R., Sinha, A. and Kundu, S. (2014) Estimating Blood Pressure Using Windkessel Model on Photoplethysmogram. 2014 36th Annual International Conference of the IEEE Engi-neering in Medicine and Biology Society, 26-30 August 2014, Chicago, IL, 4567-4570. [Google Scholar] [CrossRef]
|
|
[7]
|
Brouse, C.J., Gatzke, R., Freeman, D. and Chen, Y. (2014) Increasing the Dynamic Range of a Pulse Oximeter Using Heart Rate Characteristics. Computing in Cardiology Conference, 41, 793-796.
|
|
[8]
|
Kasambe, P.V. and Rathod, S.S. (2015) VLSI Wavelet Based Denoising of PPG Signal. Procedia Computer Science, 49, 282-288. [Google Scholar] [CrossRef]
|
|
[9]
|
Joseph, G., Joseph, A., Titus, G., Thomas, R.M. and Jose, D. (2014) Photoplethysmogram (PPG) Signal Analysis and Wavelet De-Noising. 2014 Annual International Conference on Emerging Research Areas: Magnetics, Machines and Drives, 1-5. [Google Scholar] [CrossRef]
|
|
[10]
|
Bai, T., Li, D., Wang, H.Q., Pang, Y., Li, G.Q., Lin, J.Z., Zhou, Q.N. and Jeon, G. (2017) A PPG Signal De-Noising Method Based on the DTCWT and the Morphological Filtering. IEEE International Conference on Signal-Image Technology & Internet-Based Systems, 24-26 July 2014, Kottayam, 503-506.
|
|
[11]
|
Norden, E.H., Zheng, S., Steven, R.L., Manli, C.W., Hsing, H.S., Zheng, Q.N., Yen, N.C., Chi, C.T. and Henry, H.L. (1998) The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Non-Stationary Time Series Analysis. Proceedings of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, 454, 903-995.
|
|
[12]
|
Tang, J., Zou, Q, Tang, Y., Liu, B. and Zhang, X.K. (2007) Hilbert-Huang Transform for ECG De-Noising. IEEE The 1st International Conference on Bioinformatics and Biomedical Engineering, 6-8 July 2007, Wuhan, 664-667. [Google Scholar] [CrossRef]
|
|
[13]
|
Han, G., Lin, B. and Xu, Z. (2017) Electrocardiogram Signal Denoising Based on Empirical Mode Decomposition Technique: An Overview. Journal of Instrumentation, 12, P03010. [Google Scholar] [CrossRef]
|
|
[14]
|
Zhang, Y., Gao, Y., Wang, L., Wang, L., Chen, J.H. and Shi, X.L. (2007) The Removal of Wall Components in Doppler Ultrasound Signals by Using the Empirical Mode Decomposition Algorithm. IEEE Transactions on Biomedical Engineering, 54, 1631-1642. [Google Scholar] [CrossRef]
|
|
[15]
|
Bi, N., Sun, Q., Huang, D., Yang, Z.H. and Huang, J.W. (2007) Robust Image Watermarking Based on Multiband Wavelets and Empirical Mode Decomposition. IEEE Transactions on Image Processing, 16, 1956-1966. [Google Scholar] [CrossRef]
|
|
[16]
|
Molla, M.K.I. and Hirose, K. (2007) Single-Mixture Audio Source Separation by Subspace Decomposition of Hilbert Spectrum. IEEE Transactions on Audio, Speech, and Language Processing, 15, 893-900. [Google Scholar] [CrossRef]
|
|
[17]
|
Singh, B.N. and Tiwari, A.K. (2006) Optimal Selection of Wavelet Basis Function Applied to ECG Signal Denoising. Digital Signal Processing, 16, 275-287. [Google Scholar] [CrossRef]
|