# Personalized Visualization of the Gestures of Parkinson's Disease Patients with Virtual Reality
## 5 Conclusions  
Personalized visualization of the gestures of patients with Parkinson's disease using VR presents a new avenue for enhancing the management and understanding of this complex neurological condition. By integrating immersive technologies with personalized data visualization, healthcare professionals and patients can gain deeper insight into the nuances of symptoms, progression, and responses to treatment of Parkinson's disease. This work presents an innovative use of virtual reality to understand and monitor [PERSON]'s disease, offering new tools and methods that enhance the personalization of treatment and deepen the study of patients' motor behavior. Its main contribution is that it proposes a new way of understanding and monitoring disease progression through direct visualization and the use of virtual reality, which can positively impact the treatment and management of Parkinson's patients. The application developed in this work uses the potential of immersive technologies, such as virtual reality, for the diagnosis and rehabilitation of patients with Parkinson's disease. SmartGlove was an influential tool for the development of the application, as it collects data from hand movement, as is the Leap Motion device, for visualizing and recording hand movements. Data analysis and processing were important factors for the correct visualization with high accuracy of hand movements. The integration of exercises with real-time visualization of the patients' hands provided an innovative approach, which was accepted by the patients, as the surroundings provided an atmosphere of relaxation and calmness. Likewise, because medical professionals could wear virtual reality headsets and see their patients' movements as though they were happening in front of them, they were able to monitor their patients' conditions remotely and provide helpful recommendations. In short, the dual nature of the application enables participation in a virtual reality environment both for patients, who can see their exercises and their hands in this environment, and for doctors, who can monitor the condition of their patients. The use of personalized imaging in VR opens up new potential for personalized interventions and rehabilitation strategies. By visualizing patient-specific data in a virtual environment, clinicians can design targeted treatment programs that address individual motor impairments, cognitive challenges, and psychosocial needs. This personalized approach has the potential to improve treatment outcomes and quality of life for these patients. Personalized imaging empowers patients with Parkinson's disease to actively participate in their treatment and gain a deeper understanding of their condition. Through immersive VR experiences, individuals can visualize their own movements, track progress over time, and make informed decisions about their care in collaboration with healthcare providers. However, the denial identified by patients with neurodegenerative diseases due to their condition, to the use of immersive technologies and newer methods of diagnosis and rehabilitation, remains to be eliminated. The application implemented in this paper incorporates the principles of Digital Twins. Digital Twins are a digital replica of a real object or system, updated in real-time, for monitoring, prediction, and optimization, which is embodied in the application that has been implemented. Our future goal is to build an integrated system that can provide feedback and evaluation on patient progress using artificial intelligence and data sources. The findings of this study highlight the transformative potential of personalized imaging in the field of Parkinson's disease research and healthcare delivery. By harnessing the potential of virtual reality and personalized data visualization, researchers can gain deeper insights into disease mechanisms, biomarker identification, and treatment efficacy, paving the way for more targeted interventions and improved patient outcomes. Conceptualization, E.G.D., N.E.N., A.T.T. and E.G.