Development of a Personalized Multiclass Classification Model to Detect Blood Pressure Variations Associated with Physical or Cognitive Workload

Development of a Personalized Multiclass Classification Model to Detect Blood Pressure Variations Associated with Physical or Cognitive Workload

Comprehending the regulatory mechanisms influencing blood pressure control is pivotal for continuous monitoring of this parameter. Implementing a personalized machine learning model, utilizing data-driven features, presents an opportunity to facilitate tracking blood pressure fluctuations in various...

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Bibliographic Details
Main Authors: Andrea Valerio, Danilo Demarchi, Brendan O’Flynn, Paolo Motto Ros, Salvatore Tedesco
Format: Article
Language:English
Published: MDPI AG 2024-06-01
Series:Sensors
Subjects:
cuffless blood pressure
personalized health
photoplethysmogram
pulse transit time
pulse wave analysis
Online Access:https://www.mdpi.com/1424-8220/24/11/3697

Internet

https://www.mdpi.com/1424-8220/24/11/3697

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