DELMEP

DELMEP is a deep learning-based Python code to automate the annotation of motor evoked potential (MEP) latencies. It pre-processes the MEP and employs a pre-trained neural network to estimate its latency. The pre-processing is composed of the following steps: (1) smoothing the MEP with a moving average filter to reduce the high-frequency noise; (2) centering the MEP to reduce the impact of low-frequency noise; (3) normalizing the MEP so that its minimum and maximum values correspond to 0 and 1, respectively, to mitigate the effects of the large variations in amplitude.

The software is hosted on GitHub along with instructions for use.