The aim of this work is to analyze the trends and new advances carried out in the last decades in the field of Parkinson's disease monitoring and management and more specifically regarding wearable and mobile technologies. The challenges of such technologies is to monitor, to assess and to manage the full range of PD symptoms through monitoring and testing routines while not hampering the patient's daily activities, identifying the correlation between the different dimensions affecting the severity of symptoms and the evolution of the disease and enabling the clinician to manage more efficiently the patient by providing timely indications on the effectiveness of the therapy and suggestions on therapy changes.
Finite integration technique based channel modeling on the wban receiver performance evaluation (Parkinson's disease monitoring case)