Published March 9, 2022
| Version v1
Dataset
Open
A volumetric model of rabbit heart and torso including ECG data and ventricular activation sequence
Creators
- 1. Institute for Experimental Cardiovascular Medicine, University Heart Center Freiburg · Bad Krozingen, Medical Center—University of Freiburg, Freiburg, Germany; Faculty of Medicine, University of Freiburg, Freiburg, Germany
- 2. Institute for Experimental Cardiovascular Medicine, University Heart Center Freiburg · Bad Krozingen, Medical Center—University of Freiburg, Freiburg, Germany; Department of Cardiology and Angiology I, Heart Center University of Freiburg, Medical Faculty, Freiburg, Germany
- 3. Institute for Experimental Cardiovascular Medicine, University Heart Center Freiburg · Bad Krozingen, Medical Center—University of Freiburg, Freiburg, Germany; Translational Cardiology, Department of Cardiology and Department of Physiology, University Hospital Bern, Bern, Switzerland
- 4. Institute for Experimental Cardiovascular Medicine, University Heart Center Freiburg · Bad Krozingen, Medical Center—University of Freiburg, Freiburg, Germany; Faculty of Medicine, University of Freiburg, Freiburg, Germany; Department of Cardiology and Angiology I, Heart Center University of Freiburg, Medical Faculty, Freiburg, Germany
- 5. Faculty of Medicine, University of Freiburg, Freiburg, Germany; Department of Radiology, Medical Physics, University Medical Center Freiburg, Freiburg, Germany
- 6. Department of Cardiology and Angiology I, Heart Center University of Freiburg, Medical Faculty, Freiburg, Germany; Translational Cardiology, Department of Cardiology and Department of Physiology, University Hospital Bern, Bern, Switzerland
Description
Data generated and analyzed of our work titled "A computational model of rabbit geometry and ECG: Optimizing ventricular activation sequence and APD distribution". Please see the respective publication for more context.
- BSPM_filtered.dat
- Contains the filtered ECG Data
- BSPM_original.bdf
- Contains the originally recorded signal.
Information on the file format itself can be found here: https://www.biosemi.com/faq/file_format.htm
Links to various toolboxes to open the file can be found here: https://www.biosemi.com/download.htm
- Contains the originally recorded signal.
- CT_DataDCM.zip
- Contains the recorded CT images of heart and torso in DCM file format
- ECG_NodeIndices.txt
- Contains the the node IDs of the torso mesh corresponding to the electrode positions of the ECG Vest
- Endocardial_Surface_Papillary.stl
- Segmented endocardial surface including papillary muscles
- Mat_LeadField.dat
- Contains the calculated lead field matrix to be used in combination with the provided Mesh_Ven.vtu. Make sure to keep the node order
-
# Python example of usage # Define a read_vm_vec function which reads your calculated data beforehand import numpy as np t_begin = 0 t_end = 400 LF_mat = np.loadtxt('Mat_LeadField.dat') times = np.linspace(t_begin, t_end, t_end-t_begin) result = np.zeros((len(times), 31)) for i,t in enumerate(times): vm_vec = read_vm_vec(t) result[i, :] = LF_mat.dot(vm_vec)[0:31] result = np.insert(result, 0, times, axis=1) np.savetxt('BSPM.dat', result)
- Mesh_PurkinjeTree.vtp
- The resulting optimized Purkinje Node tree. We recommend using ParaView for visualization
- Mesh_StimPoints.vtp
- The resulting points of stimulation.
- Stim_IndexTime.dat
- Contains the stimulation pattern in terms the node index of Mesh_Ven.vtu and the respective stimulation time
- Mesh_Ven.vtu
- Contains the ventricular mesh as well as the repective lead field matrix values for each surface node.
- Material:
Right Ventricle 30
Left Ventricle 31
- Mesh_Torso.vtu
- Contains the whole torso mesh.
- Material:
Fat 2
Bones 3
Blood 9
Cartilage 14
Liver 20
Lungs 17
Right Ventricle 30
Left Ventricle 31
Right Atrium 32
Left Atrium 33
Aorta 60
Pulmonary artery 61
Left Vena Jugularis 62
Right Vena Jugularis 62
Post Vena Cava 62
Notes
Files
CT_DataDCM.zip
Files
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