Predicting depressed patients with suicidal ideation from ECG recordings - Khandoker, A. H.; Luthra, V.; Abouallaban, Y.; Saha, S.; Ahmed, K. I.; Mostafa, R.; Chowdhury, N.; Jelinek, H. F. (Medical & biological engineering & computing, 2017)
Keywords: Adult; Age; Aged; Aged, 80 and over; Autonomic nervous system; Biomedical and Life Sciences; Biomedical Engineering and Bioengineering; Biomedicine; Case-Control Studies; Classification; Computer Applications; Demographics; Depressive Disorder, Major - physiopathology; Depressive Disorder, Major - psychology; EKG; Electrocardiography; Electrocardiography - methods; Entropy; Female; Heart rate; Human Physiology; Humans; Imaging; Male; Mental depression; Modulation; Original Article; Pilot Projects; Preprocessing; Radiology; Regression analysis; Risk factors; Self destructive behavior; Suicidal behavior; Suicidal Ideation; Classification and regression tree; Suicidal ideation; Heart rate variability; Major depressive disorder; Tone–entropy analysis