Electromyography, or EMG for short, helps us understand how our muscles respond. But it comes with some challenges:

• Signal Noise: Sometimes, EMG signals can get mixed up with outside noises, making the data hard to trust.

• Invasive Procedures: Using needle electrodes can cause pain and discomfort. This might make some patients hesitant to participate.

• Interpretation Complexity: Figuring out the different activities of muscles can be tricky and needs a lot of skill.

To make EMG better for studying how our nervous system works, we can:

• Improve how the electrodes are made to reduce noise.
• Use better techniques to process the signals and make them clearer.
• Train people who analyze the data more effectively.

These steps can really boost the effectiveness of EMG in research.