... (ECG) and respiratory (RESP) signals are considered as input signals. Design/methodology/approach Three machine learning approaches feed-forward artificial neural network (ANN), ensemble learning method and k-nearest neighbors searching methods are used to detect the false alarm...

... is to detect the sleep arousal using different physiological channels of human body. Social implications It will help in improving mental health by monitoring a person's sleep. Sleep disorder CNN EEG ECG U-Net Disorders caused due to insufficient sleep is a most important emerging health...

..., this manuscript coined a new dimension of features to perform supervised learning and classification using the AdaBoost classifier. The proposed method has titled “Electrocardiogram stream level correlated patterns as features (ESCPFs),” which takes electrocardiograms (ECGs) signal streams as input records...