Biomedical applications for frequency filters include the use of low pass filters to eliminate high-frequency noise in signals, such as those from EKG, EMG, and EEG sensors. High pass filters can be utilized to remove low-frequency interference, while band pass filters are essential for isolating specific frequency ranges relevant to particular physiological signals. Band stop filters are effective in eliminating specific unwanted frequencies, such as power line interference. The discussion emphasizes the importance of understanding signal bandwidths and the types of noise associated with various biomedical sensors to determine the most effective filtering strategies. Overall, frequency filters play a crucial role in enhancing the clarity and accuracy of biomedical signal monitoring.