Commercial-Grade ECG device suffer high noise due to poor use- environment and hardware architecture. And traditional band-pass or wavelet filter may not able to get well-cleaned signals. Besides, medical data is hard to acquire enough data for Deep-Learning Model. So, we upsample ECG data with Wave-GAN model and built a De- Noising Auto-Encoder Model.