Abstract
Perinatal Life Support (PLS) consortium is developing an artificial womb (PLS system) to increase chance of survival of extremely preterm infants (<28 weeks of gestational age). To develop such a complex medical device, knowledge from multidisciplinary fields must integrate into one single system. Mathematical models are used to support this integration by composing a digital twin of the system, named Arielle, to allow computer simulations of the device. Arielle is connected with a manikin to support clinical implementation. For this purpose, a new model named Arielle is proposed as digital twin of the PLS system. This study presents possible applications of Arielle.
First the purposes of Arielle are defined and a concept of Arielle and manikin is developed to test and analyze these purposes:
1. Arielle should be able to help gaining the necessary knowledge to create an optimal environment for fetal development.
2. Arielle should simulate the properties and interactions of components of the PLS system to optimize their desired effect on the
status of the fetus.
3. Arielle should be able to monitor and interpret vital signals of the fetus once integrated in the PLS system.
4. Arielle should allow patient specific decision support to inform the user to optimize settings of the PLS system and support interventions.
To support the development of the PLS system, Arielle should be able to simulate the fetal physiology and the PLS system to gain knowledge of the fetal physiology and optimize components. When the PLS system
is implemented, Arielle should be able to interpret vital signals and as a patient specific decision support. Future work focuses on the development and evaluation of Arielle with respect to the defined goals.
First the purposes of Arielle are defined and a concept of Arielle and manikin is developed to test and analyze these purposes:
1. Arielle should be able to help gaining the necessary knowledge to create an optimal environment for fetal development.
2. Arielle should simulate the properties and interactions of components of the PLS system to optimize their desired effect on the
status of the fetus.
3. Arielle should be able to monitor and interpret vital signals of the fetus once integrated in the PLS system.
4. Arielle should allow patient specific decision support to inform the user to optimize settings of the PLS system and support interventions.
To support the development of the PLS system, Arielle should be able to simulate the fetal physiology and the PLS system to gain knowledge of the fetal physiology and optimize components. When the PLS system
is implemented, Arielle should be able to interpret vital signals and as a patient specific decision support. Future work focuses on the development and evaluation of Arielle with respect to the defined goals.
| Original language | English |
|---|---|
| Number of pages | 1 |
| Publication status | Published - 14 Jul 2021 |
| Event | XXVII European Congress of Perinatal Medicine, ECPM 2021 - Lisbon, Portugal Duration: 14 Jul 2021 → 17 Jul 2021 Conference number: 27 https://www.efcni.org/event/xxvii-european-congress-of-perinatal-medicine-ecpm-lisbon-portugal/ https://www.mcascientificevents.eu/ecpm-2021/ |
Conference
| Conference | XXVII European Congress of Perinatal Medicine, ECPM 2021 |
|---|---|
| Abbreviated title | ECPM |
| Country/Territory | Portugal |
| City | Lisbon |
| Period | 14/07/21 → 17/07/21 |
| Internet address |