Signal Measurement System Design Biomechanics of the Hands for Assessment in Patients with Parkinson

The present research work offers an application for the measurement of the biomechanical signals of the hand in patients with Parkinson's disease. To analyze these movements and their subsequent evaluation, techniques based on inertial sensors are used. In the present development, a dsPIC of the dsPIC33F family was considered in the processing stage. We worked with the opening and closing of the hand, pronation and supination movements, the signals produced by these movements were recorded, then it was analyzed and the results show that it can be considered as an aid in the medical diagnosis, both for the specialties of physical medicine such as traumatology, for the treatment of Parkinson's, the specialty of neurology becomes vital because its evaluation has the characteristic of being subjective, which generates in some cases, diagnostic problems due to the weak precision of the evaluation and these lead to a deficient treatment, with the advancement of technology there are now sensors and processors specialized in signal measurement systems which can help to improve the precision in the diagnosis, in this work we present a mechanism for measuring the movement of the hands which allows us to measure the degree of frequency and amplitude of the movements to improve the diagnosis of Parkinson's.