Automatic Life Detection Based on Efficient Features of Ground-Penetrating Rescue Radar Signals.

Shi, Di; Gidion, Gunnar; Reindl, Leonhard M; Rupitsch, Stefan J

Shi, Di; Gidion, Gunnar; Reindl, Leonhard M; Rupitsch, Stefan J.

Afiliación

Shi D; Laboratory for Electrical Instrumentation and Embedded Systems, Department of Microsystems Engineering-IMTEK, University of Freiburg, Georges-Köhler-Allee 106, 79110 Freiburg, Germany.
Gidion G; Laboratory for Electrical Instrumentation and Embedded Systems, Department of Microsystems Engineering-IMTEK, University of Freiburg, Georges-Köhler-Allee 106, 79110 Freiburg, Germany.
Reindl LM; Laboratory for Electrical Instrumentation and Embedded Systems, Department of Microsystems Engineering-IMTEK, University of Freiburg, Georges-Köhler-Allee 106, 79110 Freiburg, Germany.
Rupitsch SJ; Laboratory for Electrical Instrumentation and Embedded Systems, Department of Microsystems Engineering-IMTEK, University of Freiburg, Georges-Köhler-Allee 106, 79110 Freiburg, Germany.

Sensors (Basel) ; 23(15)2023 Jul 28.

Article en En | MEDLINE | ID: mdl-37571552

Asunto(s)

Radar; Frecuencia Respiratoria; Humanos; Máquina de Vectores de Soporte

Palabras clave

binary classification; feature engineering; ground penetrating radar (GPR); life detection; minimum redundancy maximum relevance (MRMR); one-way analysis of variance (ANOVA); rescue radar; respiratory signal; support vector machine (SVM)

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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Radar / Frecuencia Respiratoria Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Alemania

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