FILDIG: a program to filter brain electrical signals in the frequency domain

Area of Science:

• Neuroscience
• Biomedical Engineering
• Signal Processing

Background:

• Commercially available filters are often integrated with data acquisition and analysis software, increasing costs.
• Full software suites are not always necessary for specific experimental needs, particularly in electroencephalogram (EEG) research.
• There is a need for accessible, low-resource tools for filtering biological signals.

Purpose of the Study:

• To develop an easy, fast, and inexpensive software program for filtering biological signals.
• To create a frequency domain filter that can be used independently of data acquisition systems.
• To provide a versatile tool for obtaining clean electrical signals in various research applications.

Main Methods:

• Development of a computer program named FILDIG.
• Implementation of an almost ideal in-phase filter in the frequency domain.
• Utilizing an interactive graphic display and a minimal interface for user-friendliness.
• Ensuring compatibility with personal computers (PC and Mac) and low resource requirements.

Main Results:

• FILDIG effectively filters brain electrical signals and other biological signals (EEG, EMG, EOG) in the frequency domain.
• The software allows for simultaneous filtering of multiple channels.
• The filtering process removes noise and isolates specific frequency bands efficiently.
• The program operates with minimal system resources.

Conclusions:

• FILDIG provides a cost-effective and efficient solution for filtering biological signals.
• The software is suitable for researchers needing narrow band filtering in EEG and other biological signal analysis.
• Its independent nature and ease of use make it a valuable tool for diverse experimental fields.