Subtraction procedure for powerline interference removing from ECG: improvement for non-multiple sampling

Area of Science:

• Biomedical Engineering
• Signal Processing

Background:

• Electrocardiogram (ECG) signals are susceptible to powerline interference.
• Existing hardware and software filters can alter essential ECG signal frequencies.
• Previous subtraction procedures had limitations with non-multiple sampling rates and interference frequencies.

Purpose of the Study:

• To improve the subtraction procedure for effective interference cancellation in ECG signals.
• To adapt the procedure for broader applicability across varying sampling and interference frequencies.
• To enable online implementation of the improved interference cancellation technique.

Main Methods:

• Developed an improved subtraction procedure for ECG interference cancellation.
• Introduced specially designed filters to address non-multiple sampling rate scenarios.
• Adapted the procedure for online implementation and tested in MATLAB and C++ environments.

Main Results:

• The improved procedure effectively cancels interference without affecting signal frequencies near powerline frequency.
• The method demonstrates high efficiency in removing noise from real ECG signals.
• The enhanced procedure is applicable to a wider range of sampling rate and interference frequency variations.

Conclusions:

• The improved subtraction procedure offers a robust solution for ECG interference cancellation.
• The technique preserves crucial signal components while effectively removing noise.
• The developed method is suitable for real-time ECG monitoring systems.