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A reference dataset for verifying numerical electrophysiological heart models.

Koch H, Bousseljot RD, Kosch O, Jahnke C, Paetsch I, Fleck E, Schnackenburg B - Biomed Eng Online (2011)

Bottom Line: The latter were recorded simultaneously from the same individuals a few hours after the MRI sessions.A training dataset is made publicly available; datasets for blind testing will remain undisclosed.While the MRI data may provide a common input that can be applied to different numerical heart models, the verification and comparison of different models can be performed by comparing the measured biosignals with forward calculated signals from the models.

View Article: PubMed Central - HTML - PubMed

Affiliation: Physikalisch-Technische Bundesanstalt, Abbestr, 2-12, 10587 Berlin, Germany. hans.koch@ptb.de

ABSTRACT

Background: The evaluation, verification and comparison of different numerical heart models are difficult without a commonly available database that could be utilized as a reference. Our aim was to compile an exemplary dataset.

Methods: The following methods were employed: Magnetic Resonance Imaging (MRI) of heart and torso, Body Surface Potential Maps (BSPM) and MagnetoCardioGraphy (MCG) maps. The latter were recorded simultaneously from the same individuals a few hours after the MRI sessions.

Results: A training dataset is made publicly available; datasets for blind testing will remain undisclosed.

Conclusions: While the MRI data may provide a common input that can be applied to different numerical heart models, the verification and comparison of different models can be performed by comparing the measured biosignals with forward calculated signals from the models.

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BSPM lead scheme. BSPM lead scheme according to Lux et al. [10].
© Copyright Policy - open-access
Related In: Results  -  Collection

License
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Figure 3: BSPM lead scheme. BSPM lead scheme according to Lux et al. [10].

Mentions: The lead system used to acquire the BSP signals is shown in Figure 3 and follows the scheme introduced by Lux et al. [10].


A reference dataset for verifying numerical electrophysiological heart models.

Koch H, Bousseljot RD, Kosch O, Jahnke C, Paetsch I, Fleck E, Schnackenburg B - Biomed Eng Online (2011)

BSPM lead scheme. BSPM lead scheme according to Lux et al. [10].
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3037925&req=5

Figure 3: BSPM lead scheme. BSPM lead scheme according to Lux et al. [10].
Mentions: The lead system used to acquire the BSP signals is shown in Figure 3 and follows the scheme introduced by Lux et al. [10].

Bottom Line: The latter were recorded simultaneously from the same individuals a few hours after the MRI sessions.A training dataset is made publicly available; datasets for blind testing will remain undisclosed.While the MRI data may provide a common input that can be applied to different numerical heart models, the verification and comparison of different models can be performed by comparing the measured biosignals with forward calculated signals from the models.

View Article: PubMed Central - HTML - PubMed

Affiliation: Physikalisch-Technische Bundesanstalt, Abbestr, 2-12, 10587 Berlin, Germany. hans.koch@ptb.de

ABSTRACT

Background: The evaluation, verification and comparison of different numerical heart models are difficult without a commonly available database that could be utilized as a reference. Our aim was to compile an exemplary dataset.

Methods: The following methods were employed: Magnetic Resonance Imaging (MRI) of heart and torso, Body Surface Potential Maps (BSPM) and MagnetoCardioGraphy (MCG) maps. The latter were recorded simultaneously from the same individuals a few hours after the MRI sessions.

Results: A training dataset is made publicly available; datasets for blind testing will remain undisclosed.

Conclusions: While the MRI data may provide a common input that can be applied to different numerical heart models, the verification and comparison of different models can be performed by comparing the measured biosignals with forward calculated signals from the models.

Show MeSH