The MFER structure for coding medical signals in real time

Area of Science:

• Biomedical Engineering
• Medical Informatics
• Signal Processing

Background:

• Medical signals (e.g., ECG, EEG) require efficient real-time storage and processing.
• Existing Medical Feature Extraction Rules (MFER) have a simple structure, posing challenges for real-time signal analysis.
• File unit storage in MFER hinders continuous, high-speed data handling.

Purpose of the Study:

• To present a novel MFER coder structure designed for real-time medical signal storage.
• To address the limitations of traditional MFER file unit storage for continuous signal processing.
• To enable efficient real-time analysis of medical signals like ECG and EEG.

Main Methods:

• Developing a new MFER coder structure.
• Implementing a strategy to store medical signals in small, discrete time units.
• Verifying the proposed MFER coder structure's effectiveness.

Main Results:

• The proposed MFER coder structure facilitates real-time storage of medical signals.
• Storing signals in small time units allows for continuous processing, overcoming MFER limitations.
• The structure's viability was confirmed through experimental results.

Conclusions:

• The presented MFER coder structure effectively supports real-time medical signal storage.
• The approach of segmenting signals into time units enhances processing capabilities.
• This advancement offers improved real-time analysis for various medical signals.