Analysis of ECG Data to Detect Sleep Apnea using Deep Learning

Abstract

Sleep plays a significant role in preserving daily productivity and the health of the body and brain. The disaster of chronic disease can be increased by the absence of sleep eminence, depression, strain, and due to lack of attentiveness as of sleeplessness. So, maintaining a person's physical and mental health depends on getting enough sleep. With the invent of Artificial Intelligence and Machine Learning a trustworthy sleep superiority monitoring system is made possible. The greatest significant features of Machine Learning is the aptitude to forecast the consequences. This presented the  Analysis of ECG Data to Detect Sleep Apnea using Deep Learning