A Virtual Patient Representation in the Medical Rehabilitation Domain.

This paper proposes a virtual patient (VP) for the medical rehabilitation domain using the digital representation of the real life patient's matchstick skeleton. This virtual patient is used to analyze and track the recovery of the orthopedic patient with malicious posture problems. The creation of the digital patient was realized using a markerless depth camera, the Microsoft Kinect.

A Kinect based intelligent e-rehabilitation system in physical therapy.

This paper presents an intelligent Kinect and fuzzy inference system based e-rehabilitation system. The Kinect can detect the posture and motion of the patients while the fuzzy inference system can interpret the acquired data on the cognitive level. The system is capable to assess the initial posture and motion ranges of 20 joints.

Computer assisted treatment prediction of low back pain pathologies.

The paper presents a fuzzy inference system based prediction with the role to determine the appropriate action for patients that presents lower back pain. If not treated correctly lower back pain can degenerate in various diseases. The system infers three possible actions: (1) spinal cord surgery, (2) medication combined with exercises and (3) no action needed.

Knowledge representation for fuzzy inference aided medical image interpretation.

Knowledge defines how an automated system transforms data into information. This paper suggests a representation method of medical imaging knowledge using fuzzy inference systems coded in XML files. The imaging knowledge incorporates features of the investigated objects in linguistic form and inference rules that can transform the linguistic data into information about a possible diagnosis.

XML as a cross-platform representation for medical imaging with fuzzy algorithms.

Machines that perform linguistic medical image interpretation are based on fuzzy algorithms. There are several frameworks that can edit and simulate fuzzy algorithms, but they are not compatible with most of the implemented applications. This paper suggests a representation for fuzzy algorithms in XML files, and using this XML as a cross-platform between the simulation framework and the software applications.