## 2 Literature Review
### The Role of Wearable Devices and Telemedicine in Mental Healthcare  
The integration of wearable health technologies with telemedicine has revolutionized healthcare delivery. Wearable devices have advanced from basic activity trackers to sophisticated tools capable of real-time physiological monitoring, enhancing patient engagement, self-care, and early detection of health issues. Telemedicine, which uses telecommunications to provide remote diagnosis and treatment, has been particularly beneficial for individuals with limited access to traditional healthcare settings. Together, these technologies offer innovative solutions for managing mental health conditions, improving patient outcomes, continuity of care, and accessibility. Recent developments have highlighted the benefits of wearable devices in telemedicine. For example, [PERSON], et al. [59] demonstrated how wearable technology can support telemedicine by providing real-time health data through non-intrusive sensors. These devices improve healthcare access for underserved populations, reduce costs, and increase patient satisfaction by enabling continuous monitoring and early diagnosis. The use of wrist-worn devices, like those discussed by [PERSON] et al. [60], allows for unobtrusive tracking of rest activity patterns through sensors, like photoplethysmography (PPG), facilitating almost real-time data collection. Wearables also hold promise for mental health monitoring. [PERSON] et al. [61] explored the use of heart rate variability (HRV) as a measure of mental health status, showing that wrist-worn wearables, such as Fitbit Sense, can reliably track HRV. This provides a less burdensome method for monitoring mental health across diagnostic categories, offering a valid alternative to self-reported questionnaires. Additionally, [PERSON] et al. [62] examined the use of wearable devices and smartphone apps in promoting physical activity among individuals with serious mental illnesses, such as schizophrenia. Their findings confirmed the feasibility and acceptability of these technologies for improving health outcomes in this high-risk group. Despite their potential, challenges such as long-term engagement, regulatory frameworks, and device validation remain. However, the growing integration of wearables and telemedicine continues to shape the future of personalized and remote healthcare, providing innovative ways to manage both physical and mental health conditions. The integration of wearable devices, telemedicine, EEG, AI, and RPM systems represents a paradigm shift in the management of schizophrenia. Real-time physiological monitoring through wearable devices together with the advanced analytical capabilities of AI on EEG data can provide deep insights into patients' cognitive and mental states,allowing for early detection of neural irregularities associated with schizophrenia. The integration of telemedicine further enhances such a system through seamless communication between patients and healthcare providers, offering continuous care and mental health support from a distance. These technologies can significantly improve the accessibility and effectiveness of mental healthcare while also empowering patients to manage their condition in a personalized and proactive manner within the comfort of their homes. This holistic approach ensures that schizophrenia patients receive the comprehensive care they need, enhancing outcomes and quality of life. This paper aims to advance mental health monitoring by integrating AI-driven Remote Patient Monitoring (RPM) systems, with a particular focus on schizophrenia. Specifically, the research leverages deep learning (DL)-based approaches applied to EEG data for continuous detection and management of the disorder. An EEG headband, equipped with strategically placed electrodes, is used alongside an openly available schizophrenia EEG dataset to validate and develop predictive models. These models are designed to be integrated into the broader NeuroPredict platform.