Machine Learning on Prediction of Relative Physical Activity Intensity Using Medical Radar Sensor and 3D Accelerometer.

Biró, Attila; Szilágyi, Sándor Miklós; Szilágyi, László; Martín-Martín, Jaime; Cuesta-Vargas, Antonio Ignacio

Biró, Attila; Szilágyi, Sándor Miklós; Szilágyi, László; Martín-Martín, Jaime; Cuesta-Vargas, Antonio Ignacio.

Afiliación

Biró A; Department of Physiotherapy, University of Malaga, 29071 Malaga, Spain.
Szilágyi SM; Department of Electrical Engineering and Information Technology, George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Targu Mures, Str. Nicolae Iorga, Nr. 1, 540088 Targu Mures, Romania.
Szilágyi L; Biomedical Research Institute of Malaga (IBIMA), 29590 Malaga, Spain.
Martín-Martín J; Department of Electrical Engineering and Information Technology, George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Targu Mures, Str. Nicolae Iorga, Nr. 1, 540088 Targu Mures, Romania.
Cuesta-Vargas AI; Computational Intelligence Research Group, Sapientia Hungarian University of Transylvania, 540485 Targu Mures, Romania.

Sensors (Basel) ; 23(7)2023 Mar 30.

Article en En | MEDLINE | ID: mdl-37050655

Asunto(s)

Radar; Carrera; Humanos; Ejercicio Físico/fisiología; Aprendizaje Automático; Acelerometría/métodos

Palabras clave

assessment; distant sensing in sports; fatigue control; machine learning; medical radar; session rating of perceived exertion

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Radar / Carrera Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: España

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