Evoked Neural Signal Authenticity Checker by Rex Chen

If you're working with evoked neural signals, you may encounter interference from stimulation artifact, motion artifact, 60Hz noise, and filter ringing. These types of interference can often appear as if they are genuine neural signals, making it difficult to determine what is real and what is not. To help with this, a checker can be used to analyze distances and delays in the eCAP recording, providing a way to verify the authenticity of your data. By comparing the two velocities derived from this process, you can confirm whether your signals are genuine or not. When the two velocities agree, it is more likely that the signals are genuine. Using this tool can help you confidently identify authentic evoked neural signals in your data.

If you're working with evoked neural signals, you may encounter interference from stimulation artifact, motion artifact, 60Hz noise, and filter ringing. These types of interference can often appear as if they are genuine neural signals, making it difficult to determine what is real and what is not. To help with this, a checker can be used to analyze distances and delays in the eCAP recording, providing a way to verify the authenticity of your data. By comparing the two velocities derived from this process, you can confirm whether your signals are genuine or not. When the two velocities agree, it is more likely that the signals are genuine. Using this tool can help you confidently identify authentic evoked neural signals in your data.