title: Monitoring cardiac stress using features extracted from S₁ heart sounds.
abstract: It is known that acoustic heart sounds carry significant information about the mechanical activity of the heart. In this paper, we present a novel type of cardiac monitoring based on heart sound analysis. Specifically, we study two morphological features and their associations with physiological changes from the baseline state. The framework is demonstrated on recordings during laparoscopic surgeries of 15 patients. Insufflation, which is performed during laparoscopic surgery, provides a controlled, externally induced cardiac stress, enabling an analysis of each patient with respect to their own baseline. We demonstrate that the proposed features change during cardiac stress, and the change is more significant for patients with cardiac problems. Furthermore, we show that other well-known ECG morphology features are less sensitive in this specific cardiac stress experiment.
authors.forename: Jonathan
authors.initials: J
authors.lastname: Herzig
authors.forename: Amitai
authors.initials: A
authors.lastname: Bickel
authors.forename: Arie
authors.initials: A
authors.lastname: Eitan
authors.forename: Nathan
authors.initials: N
authors.lastname: Intrator
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D016000:Cluster Analysis; D004562:Electrocardiography; D005260:Female; D006321:Heart / Q000502:physiology / Q000503:physiopathology*; D006347:Heart Sounds / Q000502:physiology*; D006801:Humans; D010535:Laparoscopy; D008297:Male; D008875:Middle Aged; D008955:Models, Cardiovascular; D010701:Phonocardiography / Q000145:classification*; D012815:Signal Processing, Computer-Assisted; D013312:Stress, Physiological; D055815:Young Adult