Using Cuffless Non-Invasive Methods for Blood Pressure Estimation: Description of the Selected Solutions
Date Issued
2022-09
Author(s)
Andrashikova, Barbora
Lehocki, Fedor
Tyshler, Milan
Madevska Bogdanova, Ana
Kuzmanov, Ivan
Masar, Oto
Spasenovich, Marko
Putekova, Silvia
Abstract
Blood pressure is a crucial vital sign used as an indicator
of patient’s medical state. However, the standard methods of measuring blood pressure continuously are not convenient enough in order to
be used versatilely. Critical and life threatening situations such as civil
disasters require measuring blood pressure as fast and as accurately as
possible without the need of manual calibration. In this paper, we introduce several existing blood pressure estimation techniques using machine
learning and deep learning algorithms based on ECG and/or PPG signals
acquired from a wearable sensor.
of patient’s medical state. However, the standard methods of measuring blood pressure continuously are not convenient enough in order to
be used versatilely. Critical and life threatening situations such as civil
disasters require measuring blood pressure as fast and as accurately as
possible without the need of manual calibration. In this paper, we introduce several existing blood pressure estimation techniques using machine
learning and deep learning algorithms based on ECG and/or PPG signals
acquired from a wearable sensor.
Subjects
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