Machine Learning Based Diagnosis of Vertigo using Video Head Impulse Test.

This work utilises the strength of state space based dynamic modelling and the ability of machine learning based segmentation of SRM standard descriptors to reach superior diagnostic capabilities. Dynamic modelling ensured vHIT input-output characteristics generated SRM standard descriptors, which were consequently used in formation of ML classification models.The best ML model was Linear SVM when built on left and right sided data with the SRM standard descriptors: rise time, settling time, settling minimum, settling maximum, overshoot and undershoot.