Optimal Image Characterization for In-Bed Posture Classification by Using SVM Algorithm

Optimal Image Characterization for In-Bed Posture Classification by Using SVM Algorithm

Identifying patient posture while they are lying in bed is an important task in medical applications such as monitoring a patient after a surgical intervention, sleep supervision to identify behavioral and physiological markers, or for bedsore prevention. An acceptable strategy to identify the patie...

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Podrobná bibliografie
Hlavní autoři: Claudia Angelica Rivera-Romero, Jorge Ulises Munoz-Minjares, Carlos Lastre-Dominguez, Misael Lopez-Ramirez
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2024-01-01
Edice:Big Data and Cognitive Computing
Témata:
patient posture
gray-level co-occurrence matrix
feature extraction
texture descriptors
support vector machine
color components
On-line přístup:https://www.mdpi.com/2504-2289/8/2/13

Internet

https://www.mdpi.com/2504-2289/8/2/13

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