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
TLDR
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).Abstract:
—The newly inaugurated Research Resource for Complex Physiologic Signals, which was created under the auspices of the National Center for Research Resources of the National Institutes of He...read more
Citations
More filters
Journal ArticleDOI
What is physiologic complexity and how does it change with aging and disease
TL;DR: Vaillancourt and Newell as mentioned in this paper used fractal analysis and non-linear dynamics to study the effects of aging and disease on the behavior of a living organism, and found that nonlinear coupling may lead to an extraordinary range of dynamics, including different classes of abrupt changes, (such as bifurcations), deterministic chaos, nonlinear phase transitions, pacemakerentrainment and resetting, stochastic resonance, wave phe-nomena (including spiral waves, solitons, and scroll waves), and certain types of fractal
Journal ArticleDOI
Deep learning for healthcare applications based on physiological signals: A review.
TL;DR: This review paper depicts the application of various deep learning algorithms used till recently, but in future it will be used for more healthcare areas to improve the quality of diagnosis.
Journal ArticleDOI
Multiplexed protein measurement: technologies and applications of protein and antibody arrays
TL;DR: The ability to measure the abundance of many proteins precisely and simultaneously in experimental samples is an important, recent advance for static and dynamic, as well as descriptive and predictive, biological research.
Journal ArticleDOI
Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals
U. Rajendra Acharya,U. Rajendra Acharya,U. Rajendra Acharya,Hamido Fujita,Shu Lih Oh,Yuki Hagiwara,Jen Hong Tan,Muhammad Adam +7 more
TL;DR: A convolutional neural network algorithm is implemented for the automated detection of a normal and MI ECG beats (with noise and without noise) and can accurately detect the unknown ECG signals even with noise.
Journal ArticleDOI
ECG-based heartbeat classification for arrhythmia detection
TL;DR: This work surveys the current state-of-the-art methods of ECG-based automated abnormalities heartbeat classification by presenting the ECG signal preprocessing, the heartbeat segmentation techniques, the feature description methods and the learning algorithms used.
References
More filters
Journal ArticleDOI
Multifractality in human heartbeat dynamics
Plamen Ch. Ivanov,Plamen Ch. Ivanov,Luís A. Nunes Amaral,Luís A. Nunes Amaral,Ary L. Goldberger,Shlomo Havlin,Michael Rosenblum,Zbigniew R. Struzik,H. Eugene Stanley +8 more
TL;DR: In this paper, the authors investigate the possibility that time series generated by certain physiological control systems may be members of a special class of complex processes, termed multifractal, which require a large number of exponents to characterize their scaling properties.
Journal ArticleDOI
From Clocks to Chaos: The Rhythms of Life
TL;DR: One of the most interesting features of the book is that it makes a start at explaining "dynamical diseases" that are not the result of infection by pathogens but that stem from abnormalities in the timing of essential functions.
Journal ArticleDOI
Non-linear dynamics for clinicians: chaos theory, fractals, and complexity at the bedside.
TL;DR: An introduction to some key aspects of non-linear dynamics and selected applications to physiology and medicine is provided.
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
Spatiotemporal evolution of ventricular fibrillation
Francis X. Witkowski,L. Joshua Leon,Patricia A. Penkoske,Wayne R. Giles,Mark L. Spano,William L. Ditto,Arthur T. Winfree +6 more
TL;DR: High spatial and temporal resolution mapping of optical transmembrane potentials can easily detect transiently erupting rotors during the early phase of ventricular fibrillation, characterized by a relatively high spatiotemporal cross-correlation.