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A dynamical model for generating synthetic electrocardiogram signals
TLDR
A dynamical model based on three coupled ordinary differential equations is introduced which is capable of generating realistic synthetic electrocardiogram (ECG) signals and may be employed to assess biomedical signal processing techniques which are used to compute clinical statistics from the ECG.
Advanced Methods And Tools for ECG Data Analysis
TLDR
The ECG and Its Contaminants, Visualization Methods, Knowledge Management and Emerging Methods, and Supervised and Unsupervised Classification.
AF classification from a short single lead ECG recording: The PhysioNet/computing in cardiology challenge 2017
TLDR
A mid-competition bootstrap approach to expert relabeling of the data, levering the best performing Challenge entrants' algorithms to identify contentious labels is implemented, indicating that a voting approach can boost performance.
An open access database for the evaluation of heart sound algorithms.
TLDR
A public heart sound database, assembled for an international competition, the PhysioNet/Computing in Cardiology (CinC) Challenge 2016, which comprises nine different heart sound databases sourced from multiple research groups around the world is described.
Multiparameter Intelligent Monitoring in Intensive Care II: A public-access intensive care unit database*
TLDR
MIMIC-II documents a diverse and very large population of intensive care unit patient stays and contains comprehensive and detailed clinical data, including physiological waveforms and minute-by-minute trends for a subset of records.
Logistic Regression-HSMM-Based Heart Sound Segmentation
TLDR
This paper addresses the problem of the accurate segmentation of the first and second heart sound within noisy real-world PCG recordings using an HSMM, extended with the use of logistic regression for emission probability estimation, and implements a modified Viterbi algorithm for decoding the most likely sequence of states.
The PhysioNet/Computing in Cardiology Challenge 2015: Reducing false arrhythmia alarms in the ICU
TLDR
A set of 1,250 multi-parameter ICU data segments associated with critical arrhythmia alarms is provided, and the general research community is challenged to address the issue of false alarm suppression using all available signals.
A Nonlinear Bayesian Filtering Framework for ECG Denoising
TLDR
A nonlinear Bayesian filtering framework is proposed for the filtering of single channel noisy electrocardiogram (ECG) recordings, demonstrating superior results compared with conventional ECG denoising approaches such as bandpass filtering, adaptive filtering, and waveletDenoising, over a wide range of ECG SNRs.
Early Prediction of Sepsis From Clinical Data: The PhysioNet/Computing in Cardiology Challenge 2019
TLDR
Diverse computational approaches predict the onset of sepsis several hours before clinical recognition, but generalizability to different hospital systems remains a challenge.
A Review of Fetal ECG Signal Processing; Issues and Promising Directions.
TLDR
A range of promising recording and signal processing techniques for fetal ECG analysis that have been developed over the last forty years are reviewed, and both their shortcomings and advantages are discussed.
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