Towards Improving Hypertensive Patients Care: Pervasive Monitoring and Diagnosis Support

Area of Science:

• Cardiology
• Medical Informatics
• Public Health

Background:

• Hypertension is a prevalent chronic condition often asymptomatic, leading to delayed diagnosis.
• White-coat syndrome affects approximately 20% of the population, increasing the risk of hypertension misdiagnosis.
• Consistent blood pressure monitoring is challenging for diagnosed hypertensive patients.

Purpose of the Study:

• To propose a pervasive solution model for ambulatory monitoring of hypertensive patients.
• To support clinicians in the diagnosis of hypertension.
• To develop a system that dynamically adjusts to individual patient blood pressure levels.

Main Methods:

• Development of a pervasive solution model for continuous ambulatory blood pressure monitoring.
• Selection of key attributes and techniques to assist in hypertension diagnosis.
• Implementation of a dynamic adjustment mechanism based on patient-specific average blood pressure.

Main Results:

• A proposed model for effective ambulatory hypertension monitoring.
• Identified attributes and techniques for improved hypertension diagnosis.
• An adaptive implementation that personalizes monitoring to patient baselines.

Conclusions:

• The proposed solution enhances the diagnosis and management of hypertension through pervasive monitoring.
• Dynamic adjustment capabilities improve the accuracy and relevance of blood pressure data.
• This approach supports both patient self-management and clinical decision-making for hypertension.