The use of drones and a machine-learning model for recognition of simulated drowning victims-A feasibility study.

Claesson, A; Schierbeck, S; Hollenberg, J; Forsberg, S; Nordberg, P; Ringh, M; Olausson, M; Jansson, A; Nord, A

Claesson, A; Schierbeck, S; Hollenberg, J; Forsberg, S; Nordberg, P; Ringh, M; Olausson, M; Jansson, A; Nord, A.

Afiliación

Claesson A; Department of Medicine, Centre for Resuscitation Science, Karolinska Institutet, Solna, Sweden. Electronic address: Andreas.claesson@ki.se.
Schierbeck S; Department of Medicine, Centre for Resuscitation Science, Karolinska Institutet, Solna, Sweden.
Hollenberg J; Department of Medicine, Centre for Resuscitation Science, Karolinska Institutet, Solna, Sweden.
Forsberg S; Department of Medicine, Centre for Resuscitation Science, Karolinska Institutet, Solna, Sweden.
Nordberg P; Department of Medicine, Centre for Resuscitation Science, Karolinska Institutet, Solna, Sweden.
Ringh M; Department of Medicine, Centre for Resuscitation Science, Karolinska Institutet, Solna, Sweden.
Olausson M; Swedish Lifesaving Society, Bromma, Sweden.
Jansson A; Swedish Lifesaving Society, Bromma, Sweden.
Nord A; Department of Medicine, Centre for Resuscitation Science, Karolinska Institutet, Solna, Sweden.

Resuscitation ; 156: 196-201, 2020 11.

Article en En | MEDLINE | ID: mdl-32976963

Asunto(s)

Ahogamiento; Ahogamiento Inminente; Ahogamiento/diagnóstico; Estudios de Factibilidad; Humanos; Aprendizaje Automático; Suecia; Agua

Palabras clave

Drone; Drowning; Machine-learning; OHCA

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ahogamiento Inminente / Ahogamiento Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans País/Región como asunto: Europa Idioma: En Revista: Resuscitation Año: 2020 Tipo del documento: Article Pais de publicación: Irlanda

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