## 4 Results
### Development Phase Observations  
Preliminary laboratory tests have indicated that the Monit4 Healthy platform offers a user-friendly experience, being highly intuitive and with a structured, easily navigable interface for both patients and healthcare professionals. System responsiveness was assessed, with multiple devices transmitting data concurrently. The platform demonstrated minimal latency, with real-time updates appearing nearly instantly in the platform upon data acquisition. Figure 18: The Recommendations section from the medical professional’s interface. This section allows medical professionals to provide personalized health recommendations based on patients’ monitored data. It facilitates the creation, management, and communication of tailored advice, supporting proactive care and fostering continuous engagement between clinicians and patients. The accuracy, transmission efficiency, and reliability of the sensor data acquisition was tested, with the medical devices demonstrating a robust integration within the platform, ensuring efficient data flow from the sensors to the cloud and to the user interface. With the use of Raspberry Pi as a gateway, the process of data transmission was optimized for minimal latency and bandwidth efficiency. To ensure data accuracy in the Monit4 Healthy system, all sensors used for biomedical signal acquisition--specifically ECG, EMG, PPG, GSR, and body temperature sensors--underwent calibration and validation procedures during laboratory testing. Calibration was conducted using reference measurements obtained from standardized commercial devices and controlled environmental conditions, with sensor outputs assessed to confirm compliance with tolerances specified for healthcare applications. Where applicable, factory calibration parameters were reviewed and verified. For example, the PPG sensor (MAX30102) used for heart rate and SpO\({}_{2}\) monitoring was factory-calibrated and provided an SpO\({}_{2}\) accuracy of \(\pm\)2% (within a 70-100% range) and heart rate accuracy of \(\pm\)3 BPM, as specified by the manufacturer. Similarly, the temperature sensor (DS18B20) offers an accuracy of \(\pm\)0.5 \({}^{\circ}\)C within the range of \(-\)10 \({}^{\circ}\)C to +85 \({}^{\circ}\)C and was validated under laboratory conditions. For the ECG and EMG modules, signal accuracy was evaluated using laboratory-grade signal simulators with standardized output parameters. These simulators generated reference waveforms with amplitude ranges between 0.5 mV and 4 mV, enabling the verification of acquisition accuracy and confirming appropriate filtering for clinical relevance. Although the system is currently in the final development and validation phase, with laboratory testing confirming stable and reliable sensor performance, comprehensive clinical accuracy benchmarking against certified medical devices is scheduled as part of the real-world deployment. These activities are detailed in the implementation roadmap and will involve comparative evaluations under clinical conditions to confirm sensor precision and consistency in real-world scenarios. As previously mentioned, among the evaluated aspects during the development phase was the performance and placement optimization of the Gaitband. While initially placed on  
Figure 19: The Authentication page in the Monit4 Healthy platform. This page ensures secure access to the platform through user authentication. It supports login for both patients and healthcare professionals, maintaining data confidentiality and system integrity by restricting access to authorized users only. the ankle, laboratory tests revealed that resting positions were frequently misinterpreted as falls. Upon detecting changes in orientation, such as leg repositioning or shifting weight, the accelerometer and gyroscope triggered false alerts. The most reliable and stable alternative was placing the device on the chest. This reduced false positive alerts and improved the accuracy of the balance assessment.