PD-Monitor: A Self-management App for Monitoring Patients with Parkinson’s Disease

Parkinson’s disease is a neurodegenerative disease that affects the nervous system and usually occurs in adulthood. Although different treatments exist, artificial intelligence (AI) represents an important contribution to the treatment of Parkinson’s. In this sense, large volumes of data can be processed, and patterns can be identified to facilitate the early diagnosis of Parkinson’s disease (PD). In addition, AI can provide additional information for decision-making and personalized PD monitoring. Therefore, we propose a set of algorithms based on AI techniques for symptom monitoring of PD patients. Furthermore, we present a software module as a proof-of-concept of the proposed algorithms. This module makes recommendations to control the symptoms of the disease through notifications and alerts for PD patients, using artificial intelligence techniques. In addition, we present the architecture design, which consists of two main functionalities: (1) Voice detection to extract information from the patient’s voice, and (2) Freehand drawing detection to identify tremors in patients’ hands. Finally, two case studies are presented as a proof of concept of the proposed module.