Determining effectiveness of vision therapy using levenberg marquardt neural network to assess improvement in cerebral palsy affected kids

Abstract

Cerebral Palsy (CP) is a neurological disorder due to the abnormalities which develop during brain development in kids. CP is the result of damage in brain cells which leads to other health issues such as impairment in vision, hearing, motor activities and so on. The major issue for the CP Kids is vision dysfunction. To investigate the effectiveness of visual therapy method used for CP kids, the Visually Evoked Potential (VEP) test and Functional vision assessment (which is Functional Vision Questionnaire-Task oriented and Basic oriented) for CP kids are made before and after the visual therapy program. Visual therapy improves the functional behaviour of CP kids. This research focuses to find an alternate for VEP test, so the researcher observes the assessments of functional vision and compares the test results of VEP. These are carried out before and after the visual therapy programme. The major functional visual task activities have been achieved by CP kids and it has also been observed that there is good feedback from the task item given to CP kids. Here, the VEP test parameters are latency and amplitude values and the results are compared with functional visual assessment data values by statistical approach. The neuro-physiological investigations of VEP can serve as an important tool in the clinical work for CP kids. The VEP measurement has shown better improvement in latency and amplitude of the waveform in two CP kids. As the results, instead of VEP tests, the functional questionnaire of visual assessment for CP kids highlighted the good diagnostic performance by statistical approach. newlineThe next approach is used to study and identify the visual problems in CP children besides assessing the oculomotor deficit conditions by recording their eye movements at the rehabilitation centers newline newline