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Automatic identification of stimulation activities during newborn resuscitation using ECG and accelerometer signals

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Automatic identification of stimulation activities during newborn resuscitation using ECG and accelerometer signals

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Urdal, J.; Engan, K.; Eftestøl, T.; Naranjo Ornedo, V.; Haud, IA.; Yeconia, A.; Kidanto, H.... (2020). Automatic identification of stimulation activities during newborn resuscitation using ECG and accelerometer signals. Computer Methods and Programs in Biomedicine. 193:1-9. https://doi.org/10.1016/j.cmpb.2020.105445

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/165517

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Title: Automatic identification of stimulation activities during newborn resuscitation using ECG and accelerometer signals
Author: Urdal, Jarle Engan, Kjersti Eftestøl, Trygve Naranjo Ornedo, Valeriana Haud, Ingunn Anda Yeconia, Anita Kidanto, Hussein Ersdal, Hege
UPV Unit: Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Issued date:
Abstract:
[EN] Background and Objective: Early neonatal death is a worldwide challenge with 1 million newborn deaths every year. The primary cause of these deaths are complications during labour and birth asphyxia. The majority of ...[+]
Subjects: Newborn resuscitation , Activity recognition , Automatic annotation , Machine learning
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Computer Methods and Programs in Biomedicine. (issn: 0169-2607 )
DOI: 10.1016/j.cmpb.2020.105445
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.cmpb.2020.105445
Project ID:
RCN/228203
Thanks:
This work is part of the Safer Births project which has received funding from Laerdal Foundation, Laerdal Global Health, Skattefunn, Norwegian Ministry of Education and USAID. The work was partly supported by the Research ...[+]
Type: Artículo

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