title: Robust detection of heart beats in multimodal data.
abstract: This editorial reviews the background issues, the design, the key achievements, and the follow-up research generated as a result of the PhysioNet/Computing in Cardiology (CinC) Challenge 2014, published in the concurrent focus issue of Physiological Measurement. Our major focus was to accelerate the development and facilitate the comparison of robust methods for locating heart beats in long-term multi-channel recordings. A public (training) database consisting of 151 032 annotated beats was compiled from records that contained ECGs as well as pulsatile signals that directly reflect cardiac activity, and other signals that may have few or no observable markers of heart beats. A separate hidden test data set (consisting of 152 478 beats) is permanently stored at PhysioNet, and a public framework has been developed to provide researchers with the ability to continue to automatically score and compare the performance of their algorithms. A scoring criteria based on the averaging of gross sensitivity, gross positive predictivity, average sensitivity, and average positive predictivity is proposed. The top three scores (as of March 2015) on the hidden test data set were 93.64%, 91.50%, and 90.70%.
authors.affiliation: Institute for Medical Engineering and Science, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA 02139, USA.
authors.forename: Ikaro
authors.initials: I
authors.lastname: Silva
authors.forename: Benjamin
authors.initials: B
authors.lastname: Moody
authors.forename: Joachim
authors.initials: J
authors.lastname: Behar
authors.forename: Alistair
authors.initials: A
authors.lastname: Johnson
authors.forename: Julien
authors.initials: J
authors.lastname: Oster
authors.forename: Gari D
authors.initials: GD
authors.lastname: Clifford
authors.forename: George B
authors.initials: GB
authors.lastname: Moody
mesh_terms: D000465:Algorithms; D016208:Databases, Factual; D006321:Heart / Q000502:physiology*; D006334:Heart Function Tests / Q000379:methods*; D006339:Heart Rate / Q000502:physiology; D006801:Humans; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted