title: Robust off-line heartbeat detection using ECG and pressure-signals.
abstract: Artefacts in pressure- and ECG-signals generally arise due to different causes. Therefore, the combined analysis of both signals can increase the effectiveness of heartbeat detection compared to analysis using solely ECG-signals. In this paper, we present an algorithm for heartbeat annotation by combining the analysis of both the pressure- and ECG-signals. The novelties of our algorithm are as follows: (1) development of a new approach for annotating heartbeats using pressure-signals, (2) development of a mechanism that identifies and corrects paced rhythms, and (3) development of a noise detection approach. Our algorithm is tested on the datasets from the extended phase of the Physionet CINC-2014 challenge and produces an overall score of 87.31%. Finally, we put forth several recommendations that could further improve our algorithm.
authors.affiliation: Institute of High Performance Computing, A*STAR, 138632, Singapore. University of Twente, Enschede, The Netherlands.
authors.forename: Bart
authors.initials: B
authors.lastname: Hoeben
authors.forename: Soo Kng
authors.initials: SK
authors.lastname: Teo
authors.forename: Bo
authors.initials: B
authors.lastname: Yang
authors.forename: Yi
authors.initials: Y
authors.lastname: Su
mesh_terms: D000465:Algorithms; D004562:Electrocardiography; D005189:False Positive Reactions; D006321:Heart / Q000502:physiology*; D011312:Pressure; D012815:Signal Processing, Computer-Assisted