Monitoring symptom progression in Parkinson’s Disease using Least Squares Support Vector Regression

Parkinson’s Disease is a neurodegenerative disease that has a decline in motor behaviour as one of its main symptoms. This decline is currently monitored using subjective measures, such as questionnaires and clinical observations. More detailed and objective tracking of this decline can improve treatment of the disease and allow for earlier...

Identifying Behavioural Changes due to Parkinson’s Disease Progression in Motor Performance Data: Development of a Tool for Monitoring Treatment of Parkinson’s Disease

Parkinson's disease can severely affect motor performance and impede in executing daily activities. Treatment can greatly improve patients' quality-of-life, however, disease detection and monitoring is still performed subjectively. Quantification of patients' motor performance and its decline due to increasing symptom severity using tracking...

Quantifying ageing effect on gaze dynamics: By using identification techniques with an eye-only and an eye-hand pursuit tracking task

In an effort to develop new tools for the classification of neurodegenerative diseases, the effect on the ocular motor system and specifically the visuomotor integration has been a field of interest for more than a decade. Where tracking tasks have shown the potential to quantify fine motor skills of the hand, too little is known about the...