Fourier analysis transforms biomedical signals from time domain to frequency domain, enabling precise identification and isolation of noise frequencies that can be filtered out while preserving essential physiological information. This technique allows engineers to design adaptive filters that selectively remove specific noise sources like power line interference or muscle artifacts in ECG signals without distorting the underlying cardiac waveforms necessary for accurate medical diagnosis.