Novel smart data analysis technologies to differentiate Parkinson’s disease from essential tremor

Abstract

Abstract Smart approach to study the relation between tremor and olfactory malfunction is studied. It is shown that neither olfactory function measurement, nor tremor measurement solely are able to differentiate Parkinson’s disease from essential tremor. On the contrary, the combination of these two medical examination techniques yields reliable discrimination of these two pathologies. Also, the inverse relation pattern between olfactory and tremor is proven. These results are obtained through the implementation of novel smart technique of non-linear clustering based on elastic map method.