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Detecting Mistakes in CPR Training with Multimodal Data and Neural Networks

This study investigated to what extent multimodal data can be used to detect mistakes during Cardiopulmonary Resuscitation (CPR) training. We complemented the Laerdal QCPR ResusciAnne manikin with the Multimodal Tutor for CPR, a multi-sensor system consisting of a Microsoft Kinect for tracking body...

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Detalles Bibliográficos
Autores principales:	Di Mitri, Daniele, Schneider, Jan, Specht, Marcus, Drachsler, Hendrik
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2019
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679577/ https://www.ncbi.nlm.nih.gov/pubmed/31337029 http://dx.doi.org/10.3390/s19143099

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