Artifact suppression refers to the process of removing unwanted noise or interference from collected data or measurements in scientific research. These artifacts can be caused by various sources such as electrical interference, background noise, or artifacts created by the measuring instruments themselves. Suppressing these artifacts is essential for obtaining accurate and reliable results in research studies. Common techniques for artifact suppression include filtering, signal processing, and noise reduction algorithms. Researchers often use a combination of these methods to eliminate artifacts and enhance the quality of their data.