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Methods to Estimate the Blood Pressure and the Arterial Stiffness Based on Photoplethysmographic (PPG) Signals

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.
Norm, patent, standard, Bibliographie

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.
Type of entry: Bibliographie
Title: Methods to Estimate the Blood Pressure and the Arterial Stiffness Based on Photoplethysmographic (PPG) Signals
Language: English
Date: 12 August 2021
Place of Publication: Essen
Patent number: US 2021/0244302 A1
URL / URN: https://appft.uspto.gov/netacgi/nph-Parser?Sect1=PTO1&Sect2=...
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.

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
Last Modified: 02 Feb 2023 09:43
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