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...

وصف كامل

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Claudia Angelica Rivera-Romero, Jorge Ulises Munoz-Minjares, Carlos Lastre-Dominguez, Misael Lopez-Ramirez
التنسيق:	مقال
اللغة:	English
منشور في:	MDPI AG 2024-01-01
سلاسل:	Big Data and Cognitive Computing
الموضوعات:	patient posture gray-level co-occurrence matrix feature extraction texture descriptors support vector machine color components
الوصول للمادة أونلاين:	https://www.mdpi.com/2504-2289/8/2/13

الانترنت

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

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

الانترنت

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