G
George B. Moody
Researcher at Massachusetts Institute of Technology
Publications - 103
Citations - 23956
George B. Moody is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: ST segment & Intensive care. The author has an hindex of 46, co-authored 102 publications receiving 19336 citations. Previous affiliations of George B. Moody include Harvard University & Beth Israel Deaconess Medical Center.
Papers
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Journal ArticleDOI
PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals.
Ary L. Goldberger,Luís A. Nunes Amaral,Leon Glass,Jeffrey M. Hausdorff,Plamen Ch. Ivanov,Roger G. Mark,Joseph E. Mietus,George B. Moody,Chung-Kang Peng,H. Eugene Stanley +9 more
TL;DR: The newly inaugurated Research Resource for Complex Physiologic Signals (RRSPS) as mentioned in this paper was created under the auspices of the National Center for Research Resources (NCR Resources).
Journal ArticleDOI
The impact of the MIT-BIH Arrhythmia Database
George B. Moody,Roger G. Mark +1 more
TL;DR: The history of the database, its contents, what is learned about database design and construction, and some of the later projects that have been stimulated by both the successes and the limitations of the MIT-BIH Arrhythmia Database are reviewed.
Proceedings ArticleDOI
A database for evaluation of algorithms for measurement of QT and other waveform intervals in the ECG
TL;DR: A QT database designed for evaluation of algorithms that detect waveform boundaries in the ECG, consisting of 105 fifteen-minute excerpts of two-channel ECG Holter recordings, chosen to include a broad variety of QRS and ST-T morphologies.
Journal ArticleDOI
Predicting Survival in Heart Failure Case and Control Subjects by Use of Fully Automated Methods for Deriving Nonlinear and Conventional Indices of Heart Rate Dynamics
Kalon K.L. Ho,George B. Moody,Chung-Kang Peng,Joseph E. Mietus,Martin G. Larson,Daniel Levy,Ary L. Goldberger +6 more
TL;DR: It is demonstrated that HRV analysis of ambulatory ECG recordings based on fully automated methods can have prognostic value in a population-based study and that nonlinear HRV indices may contribute prognosticvalue to complement traditional HRV measures.
Journal ArticleDOI
Spectral characteristics of heart rate variability before and during postural tilt. Relations to aging and risk of syncope.
TL;DR: A novel way to quantify the loss of autonomic influences on HR regulation as a function of age is illustrated by the regression lines relating the log amplitude to the log frequency of the supine HR spectra of the old subjects.