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
Kurzbeschreibung (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.
| Typ des Eintrags: | Norm, Patent, Standard |
|---|---|
| Erschienen: | 2021 |
| Autor(en): | Lizio, R. ; Liebana Vinas, S. ; Zoubir, A. M. ; Muma, M. ; Schäck, T. |
| Art des Eintrags: | Bibliographie |
| Titel: | Methods to Estimate the Blood Pressure and the Arterial Stiffness Based on Photoplethysmographic (PPG) Signals |
| Sprache: | Englisch |
| Publikationsjahr: | 12 August 2021 |
| Ort: | Essen |
| Patent-Nummer: | US 2021/0244302 A1 |
| URL / URN: | https://appft.uspto.gov/netacgi/nph-Parser?Sect1=PTO1&Sect2=... |
| Kurzbeschreibung (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. |
| Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik > Robust Data Science 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik > Signalverarbeitung |
| Hinterlegungsdatum: | 06 Sep 2021 15:14 |
| Letzte Änderung: | 02 Feb 2023 09:43 |
| PPN: | |
| Export: | |
| Suche nach Titel in: | TUfind oder in Google |
 |
Frage zum Eintrag |
Optionen (nur für Redakteure)
 |
Redaktionelle Details anzeigen |
Drucken
Impressum