Publications
Proceedings, refereed
Electrophysiological Simulation of Maternal-Fetal ECG on a 3D Maternal Torso Model
In Computing in Cardiology. Vol. 49. Computing in Cardiology: Computing in Cardiology, 2023.Status: Published
Electrophysiological Simulation of Maternal-Fetal ECG on a 3D Maternal Torso Model
Congenital heart disease (CHD) is a leading cause of infant death. To diagnose CHD, recordings from abdomi- nal fetal electrocardiograms (fECG) can be used as a non- invasive tool. However, it is challenging to extract the fetal signal from fECG recordings partly due to the lack of data combining fECG recordings with a ground truth for the fetal signal, which can be obtained by using a scalp elec- trode during delivery. In this study, we present a computa- tional model of a pregnant female torso, in which we simu- late fetal and maternal ventricular excitation during sinus rhythm to derive fECGs, so as to enable isolated measure- ment of the fetal and maternal signal contributions.
| Afilliation | Scientific Computing |
| Project(s) | Department of Computational Physiology, No Simula project |
| Publication Type | Proceedings, refereed |
| Year of Publication | 2023 |
| Conference Name | Computing in Cardiology |
| Volume | 49 |
| Publisher | Computing in Cardiology |
| Place Published | Computing in Cardiology |
| ISSN Number | 2325-887X |
| Keywords | Non-invasive fetal electrocardiogram |
| URL | https://cinc.org/archives/2022/pdf/CinC2022-136.pdf |
| DOI | 10.22489/CinC.2022.136 |
Book Chapter
3D Simulations of Fetal and Maternal Ventricular Excitation for Investigating the Abdominal ECG
In Computational Physiology - Simula Summer School 2021 - Student Reports, 13-24. Vol. 12. Cham: Springer International Publishing, 2022.Status: Published
3D Simulations of Fetal and Maternal Ventricular Excitation for Investigating the Abdominal ECG
| Afilliation | Scientific Computing |
| Project(s) | Department of Computational Physiology |
| Publication Type | Book Chapter |
| Year of Publication | 2022 |
| Book Title | Computational Physiology - Simula Summer School 2021 - Student Reports |
| Volume | 12 |
| Pagination | 13 - 24 |
| Date Published | 05/2022 |
| Publisher | Springer International Publishing |
| Place Published | Cham |
| ISBN Number | 978-3-031-05163-0 |
| ISBN | 2512-1677 |
| URL | https://doi.org/10.1007/978-3-031-05164-7_2 |
| DOI | 10.1007/978-3-031-05164-7_2 |
Digital tracing, validation, and reporting
In Smittestopp − A Case Study on Digital Contact Tracing, 99-120. Vol. 11. Cham: Springer International Publishing, 2022.Status: Published
Digital tracing, validation, and reporting
Manual contact tracing has been a key component in controlling the outbreak of the COVID-19 pandemic. The identification and isolation of close contacts of confirmed cases have successfully interrupted transmission chains and reduced the disease spread. Even though manual contact tracing has been widely used, its practice has shown that it is slow and cannot be scaled up once the epidemic grows beyond the early phase. In this case, digital contact tracing can play a significant role in controlling the pandemic. In this chapter, based on our experience and lessons learned from the Smittestopp project, we discuss the main prerequisites for the efficient implementation and validation of digital contact tracing in a population. Specifically, we discuss how to translate a close contact defined for manual tracing to proximity events discovered by a phone, that is, how to define a meaningful risk score and validate the digital contact tracing. We discuss challenges related to each step and provide solutions to some of them, even though questions still remain.
| Afilliation | Scientific Computing |
| Project(s) | No Simula project |
| Publication Type | Book Chapter |
| Year of Publication | 2022 |
| Book Title | Smittestopp − A Case Study on Digital Contact Tracing |
| Volume | 11 |
| Pagination | 99–120 |
| Publisher | Springer International Publishing |
| Place Published | Cham |
| ISBN Number | 978-3-031-05466-2 |
| URL | https://doi.org/10.1007/978-3-031-05466-2_6 |
| DOI | 10.1007/978-3-031-05466-2_6 |
Talks, contributed
An image-based 3D electrophysiological torso model for simulating maternal and fetal ECG
In Virtual Physiological Human Conference - VPH, 2022.Status: Published
An image-based 3D electrophysiological torso model for simulating maternal and fetal ECG
| Afilliation | Scientific Computing |
| Project(s) | Department of Computational Physiology |
| Publication Type | Talks, contributed |
| Year of Publication | 2022 |
| Location of Talk | Virtual Physiological Human Conference - VPH |
| URL | https://vph-conference.org/wp-content/uploads/sites/11/2022/09/VPH2022_A... |
Journal Article
Combined In-silico and Machine Learning Approaches Toward Predicting Arrhythmic Risk in Post-infarction Patients
Frontiers in physiology 12 (2021): 745349.Status: Published
Combined In-silico and Machine Learning Approaches Toward Predicting Arrhythmic Risk in Post-infarction Patients
| Afilliation | Scientific Computing |
| Project(s) | Department of Computational Physiology |
| Publication Type | Journal Article |
| Year of Publication | 2021 |
| Journal | Frontiers in physiology |
| Volume | 12 |
| Pagination | 745349 |
| Publisher | Frontiers |