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RiNeo MR: A mixed-reality tool for newborn life support training.
Annu Int Conf IEEE Eng Med Biol Soc ; 2021: 5043-5046, 2021 11.
Article em En | MEDLINE | ID: mdl-34892340
ABSTRACT
The first minute of life, the Golden Minute, has been defined as a critical window in which fundamental physiological processes occur for establishing spontaneous ventilation in a newborn. Resuscitation is more likely to succeed if it is performed properly and at the right time. In this scenario, simulation is an appropriate tool for training and evaluating the abilities of all staff working in the delivery room, as well as students. As simulations require a high degree of immersivity in order to be effective, the use of technologies like Virtual (VR) and mixed reality (MR) have garnered more interest in training. Currently, some VR and MR applications have been developed for adult life support training, but neonatal tools are still missing. To overcome this limitation, we present RiNeo MR, a prototype of a MR simulator for neonatal resuscitation training. The simulator consists of (i) a sensorized physical model of the newborn that allows monitoring chest compressions; (ii) a VR head mounted display that allows visualizing a virtual 3D model of the manikin and scenarios of the delivery and operating rooms. This enables students, and healthcare providers to be immersed in realistic hospital settings while performing life support procedures on the newborn manikin. Clinical Relevance-The newborn life support training (NLS) in facilities reduces term intrapartum-related deaths by 30%.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Realidade Virtual / Realidade Aumentada Limite: Adult / Humans / Newborn Idioma: En Revista: Annu Int Conf IEEE Eng Med Biol Soc Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Realidade Virtual / Realidade Aumentada Limite: Adult / Humans / Newborn Idioma: En Revista: Annu Int Conf IEEE Eng Med Biol Soc Ano de publicação: 2021 Tipo de documento: Article