ECG Apnea Detector

This project presents a system that can allow the diagnosis of sleep apnea using ECG signals from standardized medical datasets. The dataset was used to derive relevant diagnostic information which was then used to estimate when an apnea is occurring with an accuracy of 94.6%.

Figure 1- (a) Unfiltered ECG Data; and (b) Power Density Data