Assessing the Efficacy of Various Machine Learning Algorithms in Predicting Blood Pressure Using Pulse Transit Time

Assessing the Efficacy of Various Machine Learning Algorithms in Predicting Blood Pressure Using Pulse Transit Time

<b>Background/Objectives:</b> This study investigates the potential of Pulse Transit Time (PTT) derived from Impedance Plethysmography (IPG), Photoplethysmography (PPG), and Electrocardiography (ECG) for non-invasive and cuffless blood pressure monitoring. IPG measures blood volume chang...

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Xehetasun bibliografikoak
Egile nagusia: Ahmad F. Turki
Formatua: Artikulua
Hizkuntza:English
Argitaratua: MDPI AG 2025-01-01
Saila:Diagnostics
Gaiak:
pulse transit time (PTT)
medical wearable devices
photoplethysmography (PPG)
impedance plethysmography (IPG)
electrocardiography (ECG)
cuffless non-invasive blood pressure measurement
Sarrera elektronikoa:https://www.mdpi.com/2075-4418/15/3/261

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https://www.mdpi.com/2075-4418/15/3/261

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