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...

Full description

Bibliographic Details
Main Authors: Claudia Angelica Rivera-Romero, Jorge Ulises Munoz-Minjares, Carlos Lastre-Dominguez, Misael Lopez-Ramirez
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Big Data and Cognitive Computing
Subjects:
patient posture
gray-level co-occurrence matrix
feature extraction
texture descriptors
support vector machine
color components
Online Access:https://www.mdpi.com/2504-2289/8/2/13

Internet

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

Similar Items