12 Leads ECG is essential for identifying arrhythmia and other cardio malfunctions. However, it is always tricky to collect large amounts of ECG data. With Deep Learning, generated ECG data can solve the lack of data. In all candidates of the generated model, GAN shows high performance in the CV area. However, due to the nature of time series data, it is harder to generate long sequences than big picture before WaveGAN architecture. So, I built a WaveGAN model for creating artificial 12 Leads ECG data. GitHub Link: https://github.com/hawkiyc/WaveGAN_for_12_Leads_ECG_Signals