Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach-Part I: Cardiac Signals

Area of Science:

• Biomedical Engineering
• Signal Processing

Background:

• Cardiac bioelectrical signals are crucial in clinical practice.
• Advanced signal processing is rapidly evolving within biomedical engineering.

Purpose of the Study:

• To provide a comprehensive literature review of digital signal processing methods for cardiac bioelectrical signals.
• To cover classical and advanced noise alleviation techniques.

Main Methods:

• Literature review of digital signal processing techniques.
• Discussion of noise contamination alleviation strategies.
• Exploration of signal decomposition methods including blind source separation and wavelet transform.

Main Results:

• Identification of commonly applied digital signal processing methods in clinical practice.
• Overview of various filtering techniques (adaptive and non-adaptive).
• Presentation of signal decomposition approaches for enhanced signal analysis.

Conclusions:

• Digital signal processing methods are essential for analyzing cardiac bioelectrical signals.
• Effective noise reduction is critical for accurate clinical interpretation.
• Advanced techniques offer significant potential for improving diagnostic capabilities.