ECG Monitoring Systems: Review, Architecture, Processes, and Key Challenges.

Area of Science:

• Biomedical Engineering
• Health Informatics
• Cardiovascular Technology

Background:

• The exponential growth of electrocardiogram (ECG) monitoring systems presents challenges for selection and evaluation.
• A need exists for a standardized framework to guide the design, classification, and analysis of these systems.
• Cardiovascular diseases (CVDs) necessitate reliable and advanced monitoring solutions.

Purpose of the Study:

• To propose a comprehensive, expert-verified taxonomy for ECG monitoring systems.
• To conduct a systematic literature review and analysis of existing ECG monitoring systems.
• To provide a foundational understanding of ECG monitoring system components, contexts, features, and challenges.

Main Methods:

• Development of an expert-verified taxonomy for classifying ECG monitoring systems.
• Systematic review and analysis of the scientific literature on ECG monitoring systems.
• Proposal of a generic architectural model for ECG monitoring systems and value chain analysis.

Main Results:

• A structured classification system for ECG monitoring technologies is presented.
• An extensive review of the literature, categorized by the proposed taxonomy, highlights current trends and challenges.
• A generic architectural model for ECG monitoring systems is proposed.

Conclusions:

• The proposed taxonomy facilitates critical understanding and comparison of ECG monitoring systems.
• Smart monitoring systems integrating deep learning, AI, Big Data, and IoT are crucial for efficient, connected healthcare.
• Future advancements should focus on leveraging emerging technologies for enhanced cardiovascular health monitoring.