Dataset of Simulated Intracardiac Transmembrane Voltage Recordings and ECG Signals

Landajuela, Mikel; Anirudh, Rushil; Blake, Robert

doi:10.11579/1870838

Title: Dataset of Simulated Intracardiac Transmembrane Voltage Recordings and ECG Signals

Dataset
Other Related Research

Abstract

The dataset consists of pairs of computationally simulated intracardiac transmembrane voltage recordings and ECG signals. In total, 16140 organ-level simulations were conducted to create this dataset, using a range of cardiac geometries and physiological parameters. Simulations were performed at LLNL's Lassen supercomputer, concurrently utilizing 4 GPUs and 40 CPU cores. Each simulation produced pairs of 500ms-by-10 ECG signals and 500ms-by-75 transmembrane voltage signals. For convenience, the signals are concatenated and saved as matrices. Each of these matrices is then stored as a numpy array. See the documentation for further details.

Authors:

Landajuela, Mikel; Anirudh, Rushil; Blake, Robert

Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); LLNL
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

Publication Date:: Thu May 19 04:00:00 UTC 2022

Other Number(s):: LLNL-MI-835833-DRAFT
IM #1048642

DOE Contract Number:: AC52-07NA27344

Research Org.:: Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

Sponsoring Org.:: USDOE National Nuclear Security Administration (NNSA)

OSTI Identifier:: 1870838

DOI:: https://doi.org/10.11579/1870838

Citation Formats


                    Landajuela, Mikel, Anirudh, Rushil, and Blake, Robert. Dataset of Simulated Intracardiac Transmembrane Voltage Recordings and ECG Signals.  United States: N. p., 2022. 
        Web.  doi:10.11579/1870838.

Copy to clipboard


                    Landajuela, Mikel, Anirudh, Rushil, & Blake, Robert. Dataset of Simulated Intracardiac Transmembrane Voltage Recordings and ECG Signals.  United States.  doi:https://doi.org/10.11579/1870838

Copy to clipboard


                    Landajuela, Mikel, Anirudh, Rushil, and Blake, Robert. 2022.  
"Dataset of Simulated Intracardiac Transmembrane Voltage Recordings and ECG Signals".  United States.  doi:https://doi.org/10.11579/1870838.  https://www.osti.gov/servlets/purl/1870838. Pub date:Thu May 19 04:00:00 UTC 2022

Copy to clipboard


                    
@article{osti_1870838,

  title        = {Dataset of Simulated Intracardiac Transmembrane Voltage Recordings and ECG Signals},

  author       = {Landajuela, Mikel and Anirudh, Rushil and Blake, Robert},

  abstractNote = {The dataset consists of pairs of computationally simulated intracardiac transmembrane voltage recordings and ECG signals. In total, 16140 organ-level simulations were conducted to create this dataset, using a range of cardiac geometries and physiological parameters. Simulations were performed at LLNL's Lassen supercomputer, concurrently utilizing 4 GPUs and 40 CPU cores. Each simulation produced pairs of 500ms-by-10 ECG signals and 500ms-by-75 transmembrane voltage signals. For convenience, the signals are concatenated and saved as matrices. Each of these matrices is then stored as a numpy array. See the documentation for further details.},

  doi          = {10.11579/1870838},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Thu May 19 04:00:00 UTC 2022},

  month        = {Thu May 19 04:00:00 UTC 2022}

}

Copy to clipboard

Dataset:

View Dataset

DOI: https://doi.org/10.11579/1870838

Save / Share:

Export Metadata

Save to My Library

Similar records in DOE Data Explorer and OSTI.GOV collections:

Harmonic Signals Dataset

Dataset Adams, Mark B ; Sheets, Gregory ; Bingham, Philip ; ...

The Harmonic Signals Dataset (HSD) consists of one-dimensional time series data collected from current sensors with a goal of providing data for research and development of Non-Intrusive Load Monitoring (NILM) with high sample rate (800kHz) sensors. NILM seeks to detect and characterize electrical equipment operating within a facility by sensing changes in electrical current on the building power system associated with the equipment. To provide data with a known ground truth, but with the realism of a signal introduced within a building facility, a series of known ground truth signals were injected as voltage into the power system of amore »« less
Simulation Dataset - Input files

Dataset Rakha, Hesham

The input data that are required to run the model are divided into fundamental data and advanced data. The fundamental data are essential to run the model, while the advanced data allow optional model features to be activated. The names of all input data files are to be entered as ASCII characters in a tabular format. Spaces, commas, or tabs can separate numeric fields, the use of any other special visible or hidden characters must be avoided. It may be useful to note that all files are generally read in using standard free-format style FORTRAN READ statements. The input datamore »« less
SIGNAL RECONSTRUCTIONS FOR ECG-TRANSMEMBRANE VOLTAGE POTENTIALS USING TRANSFORMERS

Conference DeGuchy, Omar ; Ornelas-Munoz, Jocelyn ; Terasaki, Gbocho ; ...
IM3/HyperFACETS Thermodynamic Global Warming (TGW) Simulation Datasets

Dataset Jones, Andrew D. ; Rastogi, Deeksha ; Vahmani, Pouya ; ...

Publication For a thorough description of the methods, see the peer-reviewed paper: Jones, A.D., Rastogi, D., Vahmani, P. et al. Continental United States climate projections based on thermodynamic modification of historical weather. Sci Data 10, 664 (2023). https://doi.org/10.1038/s41597-023-02485-5 Overview The IM3 / HyperFACETS climate simulations provide 40-year historical (1980-2019) as well as four 80-year future simulations (2020-2099) over the U.S. The future simulations are split into near (2020-2059) and far future (2060-2099) segments. The future scenarios span a range of plausible changes in future climate (both Global Circulation Model (GCM) and Representative Concentration Pathways/Shared Socioeconomic Pathway (RCP/SSP) dimensions). The simulations provide climate variables withmore »« less
SARS-CoV2 Protein-Ligand Simulation Dataset: Layer 1 (Simulation Initial Conditions and Parameters)

Dataset Smith, Micholas Dean ; Rogers, David M ; Vermaas, Josh ; ...

A set of 24 protein structures/complexes from the SARS CoV-2 proteome and inputs prepared for simulation using the CHARMM36m forcefield in PDB and gromacs formats. Each system contains a pdb and gromacs top and related input files necessary for running a temperature replica-exchange simulation. In addition, we also include: charmm PSF files (generated from the gromacs topology), a list of temperatures at which replica-exchange simulations were done (tempRamp), example gromacs run input mdp files, and initial minimized structures where available (minimized.pdb).

Similar Records