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. 2019 Nov 8;9:16346. doi: 10.1038/s41598-019-52710-8

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© The Author(s) 2019

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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(a) The block diagram of used signal processing method to estimate BP from signals. (b) Proposed wavelet function design based on CWR signals waveform. (c) A sample of CWR signal (in-phase components) after BPF, wavelet transform and adaptive filtering for subject 1, standing position. (d) Samples of ECG, CWR, PPG, second derivative of CWRs, and first derivative of PPGs for subject 1 in standing position during the BP estimation. (e) A comparison between a sample of CWR signal (in-phase components) and M-mode signal of Ultra-sound.