Lizio, R. ; Liebana Vinas, S. ; Zoubir, A. M. ; Muma, M. ; Schäck, T. (2021):
Methods to Estimate the Blood Pressure and the Arterial Stiffness Based on Photoplethysmographic (PPG) Signals.
Essen, Evonik Operations GmbH, US 2021/0244302 A1,
[Norm, patent, standard]
Abstract
The present invention relates to a method to estimate the blood pressure and the arterial stiffness based on photoplethysmographic (PPG) signals. New algorithms have been developed and validated based on PPG signals to analyze the cardiovascular condition of a person by estimating cardiovascular parameters. With the present invention a method for measuring one or more cardiovascular parameters in a subject based on PPG signals is provided.
| Item Type: | Norm, patent, standard |
|---|---|
| Erschienen: | 2021 |
| Creators: | Lizio, R. ; Liebana Vinas, S. ; Zoubir, A. M. ; Muma, M. ; Schäck, T. |
| Title: | Methods to Estimate the Blood Pressure and the Arterial Stiffness Based on Photoplethysmographic (PPG) Signals |
| Language: | English |
| Abstract: | The present invention relates to a method to estimate the blood pressure and the arterial stiffness based on photoplethysmographic (PPG) signals. New algorithms have been developed and validated based on PPG signals to analyze the cardiovascular condition of a person by estimating cardiovascular parameters. With the present invention a method for measuring one or more cardiovascular parameters in a subject based on PPG signals is provided. |
| Place of Publication: | Essen |
| Country: | United States of America |
| Patent number: | US 2021/0244302 A1 |
| Divisions: | 18 Department of Electrical Engineering and Information Technology 18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications 18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications > Robust Data Science 18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications > Signal Processing |
| Date Deposited: | 06 Sep 2021 15:14 |
| URL / URN: | https://appft.uspto.gov/netacgi/nph-Parser?Sect1=PTO1&Sect2=... |
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