## 3 Results  
### Medical Platforms for Rehabilitation  
The new generation of rehabilitation platforms is exemplified by wearable, ECG/EMG-driven systems that combine real-time physiological monitoring with a robotic glove. This platform enables closed-loop upper-limb training, in which SVM-based arousal and fatigue detection algorithms, along with adaptive controls, dynamically adjust exercise intensity  
Figure 4: Stages of the literature selection according to the PRISMA.  
while clinicians view metrics such as heart rate, beat-to-beat intervals, and muscle activation on an interactive dashboard [11].  
Currently, medical platforms such as I-TROPHYTS are widely used for remote rehabilitation monitoring, as they offer personalized rehabilitation plans based on patient historical data [12]. These systems integrate IoT devices to collect and analyze movement data and monitor the patient's condition. A unique feature of the I-TROPHYTS platform is its AI-powered humanoid robot, which assists in the therapy by tracking and analyzing the patient's movements in real-time to automatically adjust the therapeutic process. The robot also demonstrates exercises and adapts the training program based on the patient's condition. This principle of real-time data analysis also applies to more focused contexts; for example, postoperative knee monitoring systems have demonstrated that edge computing can effectively track knee flexion and extension angles [13].  
To illustrate the evolution of such solutions, Table 1 provides a brief comparison of the most representative rehabilitation platforms in the field. The table outlines their system architectures, key technologies, primary therapeutic goals, and, importantly, the degree of personalization for each platform. REHOME and ReMoVES, presented in Table 1, are platforms designed for the rehabilitation of patients with neurological disorders [14; 15]. These platforms provide personalized rehabilitation support for patients with multiple sclerosis and Parkinson's disease using motor and cognitive approaches. REHOME offers exercises to improve memory and concentration using virtual reality [15], while ReMoVES uses Internet of Medical Things (IoMT) devices for remote monitoring and the creation of personalized rehabilitation plans [15]. A mobile application, ForPatientApp, was also integrated for remote monitoring, allowing both patients and doctors to easily track the range of motion (ROM) and monitor health conditions after surgeries, such as total knee arthroplasty [16].  
The comparative indicators in Table 1 show that these platforms differ not only in their technological stack but also in their capacity for personalization--ranging from periodic adaptations to fully personalized, real-time adjustments. Moreover, the platforms vary significantly in their level of evidence, from small-scale feasibility studies to larger clinical trials, indicating different stages of scientific validation. Their clinical maturity also spans a wide spectrum, from conceptual prototypes to fully deployed systems used in hospital settings. From an economic perspective, these platforms achieve cost-effectiveness through strategies such as reducing hospitalizations, enabling remote monitoring, and promoting patient autonomy. This analysis of medical platforms reveals that the rapid convergence of artificial intelligence, advanced robotics, and comprehensive IoT sensing represents a highly promising and innovative direction.