A telediagnosis assistance system for multiple-lead electrocardiography

Area of Science:

• Biomedical Engineering
• Medical Informatics
• Cardiology

Background:

• Telemedicine is expanding technological development in Biomedical Engineering.
• Telediagnosis using multiple-lead electrocardiographic (ECG) signals presents a significant application area.
• Remote processing of biomedical signals is crucial for advanced diagnostics.

Purpose of the Study:

• To prove the concept of an internet-based telemedicine system for remote detection of myocardial ischemia.
• To develop and test techniques for remote processing of ECG signals within a university setting.
• To assess the feasibility of adjustable detection of myocardial ischemia episodes via telemedicine.

Main Methods:

• Detection and delimitation of QRS complexes and T waves in ECG signals using J-point marking.
• Application of ST segment analysis for detecting ischemia-related elevations.
• Development of a web-based telemedicine system with multiuser, remote access, and database functionalities.

Main Results:

• Sensitivity and precision averaged 11.79% and 24.21% on lower noise ECG leads.
• User-friendliness and usefulness evaluations showed broad or total acceptance rates of 88.57% and 89.28%, respectively.
• The system architecture is robust, scalable, and suitable for cloud computing.

Conclusions:

• The developed internet-based telemedicine system is a feasible proof-of-concept for remote myocardial ischemia detection.
• The system's modular architecture supports the development of new distance-based biomedical signal processing techniques.
• The high user acceptance indicates strong potential for clinical adoption and further development in cloud environments.