Enhancing In-Ear Electrocardiogram Signals Using Denoising Convolutional Autoencoders for Improved Cardiovascular Monitoring

A denoising convolutional autoencoder model can effectively enhance in-ear electrocardiogram signals, improving signal-to-noise ratio, heart rate estimation accuracy, and R-peak detection precision compared to the original noisy in-ear ECG recordings.