## 2 Literature Review
### Monitoring Neurodegenerative Diseases
Monitoring balance, coordination, and gait aids in determining the MS progression [18]; (3) _Muscle strength and spasticity_: Assessing the strength and tone of the muscles [18]; (4) _Sensory changes_: monitoring for numbness, tingling, and pain [19]; (5) _Fatigue levels_: Assessing the degree and influence of fatigue [20]; (6) _Speech and swallowing_: Evaluating speech and swallowing difficulties [21]; and (7) _Sleep analysis_: Poor sleep may affect daytime activities as it leads to daytime fatigue. Fatigue (both mental and physical) is a known problem directly linked to the condition [17]. Continuous and precise monitoring aids in diagnosis, tracking the progression of the disease, managing symptoms, and modifying treatment regimens as necessary. Medical technology and the **Internet of Things (IoT)** converge in the **Internet of Medical Things (IoMT)**, which facilitates the remote transmission of device and application data to medical servers for analysis. IoMT enables healthcare professionals to access patients' data in real-time via mobile apps or web platforms, integrating information processing with medical equipment and external activities. Connected technology, supported by software and smart devices, allows individuals to monitor their health and adhere to doctors' treatment recommendations more effectively. Additionally, it simplifies the process for doctors to access patients' medical records [22]. IoMT has several advantages for both patients and healthcare practitioners, including (1) _Accessibility_: real-time access to a variety of patient data is made possible by IoMT-based devices; (2) _Enhanced efficiency_: IoMT devices quickly gather extremely precise information, enabling well-informed decision-making. This data can also be analyzed by AI-driven algorithms to produce precise decisions or judgments; and (3) _Reduced costs_: patients may be able to leave the hospital sooner and have quicker access to medical care. Modern technology is needed for IoMT in order to collect data, communicate quickly, and guarantee security and compliance [23]. The deployment of IoMT-based medical technology to older people has been the focus of extensive prior research [24]. Both \"reasons for\" and \"reasons against\" IoMT wearable adoption exist. The senior population's routine of going to doctors for checkups and concerns about data privacy and security of their medical records kept remotely (in the cloud) are the primary \"reasons against\" arguments. It can be difficult for older people to use wearables based on IoMT. On the other hand, the relative advantages, compatibility with current healthcare procedures, and simplicity of use for health monitoring are the \"reasons for\" adopting IoMT wearables [25]. The **integration of IoMT and AI for proactive healthcare** aims to predict, track, and treat neurodegenerative disorders. This process consists of the following steps: (1) _Monitoring_: using IoMT devices, continuously gather data on a range of physical and cognitive parameters; (2) _Predicting_: analyzing data, finding patterns, and predicting disease progression or exacerbations; and (3) _Managing_: using predictive analytics to recommend tailored interventions, managing symptoms, or delaying the progression of the disease. By enabling prompt and personalized responses, this integration enhances patient outcomes and quality of life for both patients and healthcare professionals.