Advanced Bioelectrical Signal Processing Methods: Past, Present, and Future Approach-Part III: Other Biosignals.

Area of Science:

• Biomedical Engineering
• Signal Processing

Background:

• Biomedical signal analysis is complex and rapidly evolving.
• Advanced signal processing techniques are crucial for interpreting physiological data.
• This paper is Part III, focusing on digital signal processing methods.

Purpose of the Study:

• To present popular and efficient digital signal processing methods.
• To cover the analysis of specific bioelectrical signals.
• To provide a comprehensive overview for researchers and practitioners.

Main Methods:

• Digital signal processing techniques
• Analysis of electromyography (EMG) data
• Processing of electroneurography (ENG), electrogastrography (EGG), electrooculography (EOG), electroretinography (ERG), and electrohysterography (EHG) signals

Main Results:

• Identification of key digital signal processing methods for bioelectrical signals.
• Detailed examination of signal processing for EMG, ENG, EGG, EOG, ERG, and EHG.
• Highlighting efficient and popular techniques in the field.

Conclusions:

• Digital signal processing is essential for biomedical signal analysis.
• The presented methods offer efficient solutions for various bioelectrical signals.
• This review serves as a valuable resource for understanding current techniques.