Electroencephalography (EEG) and electromyography (EMG) are indispensable tools in neurological and muscular diagnostics. They provide critical insights into the brain’s electrical activity and muscle function, helping doctors diagnose a wide range of conditions, from epilepsy to neuromuscular disorders. However, one of the most persistent challenges in EEG and EMG data acquisition is the impact of noise—unwanted signals that can interfere with the accurate measurement of the patient’s physiological data.   The Impact of Noise in EEG and EMG Data Acquisition When performing EEG or EMG tests, the goal is to measure specific electrical signals—whether it’s the brain’s neural oscillations or the...