## 4 Results
### Selected Illustrations of Implemented Devices  
#### 4.1.1 The Medical Blackbox Device  
The Medical Blackbox is a multi-sensor health monitoring device designed to measure key physiological parameters with high precision. The Medical Blackbox is designed as a stationary device intended for use in both clinical and home environments, where it can be deployed near the patient for real-time monitoring. While it is not wearable, the device's form factor and low-power operation support relocation between settings, ensuring flexibility in remote healthcare scenarios. The device features an intuitive LCD display and a user-friendly keypad for selecting different monitoring modes, ensuring accessibility across various healthcare environments, from clinical use to home settings (Figure 7). Built on the Monit4 Healthy architecture, it integrates biosensors previously outlined in this study, including those for ECG, GSR, and SpO\({}_{2}\) measurements. Its design incorporates PPG sensors for enhanced heart rate and SpO\({}_{2}\) accuracy, as well as EMG signal acquisition capabilities, which will be further discussed in subsequent sections. Figure 7 showcases a view of the Medical Blackbox, with its internal structure and components.  
Figure 7: Internal structure and components the Medical Blackbox. The image shows the spatial arrangement of hardware components used in the Medical Blackbox, including the Arduino Mega board for multi-sensor signal acquisition, the ESP8266 module for wireless communication, and biomedical sensors for ECG and EMG monitoring. The power supply connection and sensor interface wiring are also visible, illustrating the system’s design for real-time physiological data acquisition and transmission within connected health monitoring scenarios.  
The integration of these sensors within the Medical Blackbox (Figure 8), in combination with the Arduino Mega microcontroller board, enables comprehensive and continuous data acquisition. Unlike other devices in the system that use low-power microcontrollers such as ESP32 and STM32, the Medical Blackbox employs an Arduino Mega, chosen for its versatile I/O capabilities and suitability for prototyping multi-sensor signal acquisition. To ensure high-fidelity signal capture, signal conditioning techniques--specifically filtering and amplification--are applied to the raw data streams, effectively enhancing signal quality and minimizing noise interference. The microcontroller unit (MCU) facilitates real-time processing by executing embedded algorithms that assess sensor outputs, enabling the detection of anomalies and supporting immediate alert generation and system responses. Data communication is established wirelessly via the NodeMCU ESP8266 module. The processed data are subsequently transmitted to a Raspberry Pi 4 Model B, functioning as a gateway device, which aggregates the data and forwards them to cloud-based infrastructures for advanced processing, storage, and visualization. Communication between the integrated sensors and the Arduino Mega is implemented using the I\({}^{2}\)C protocol--a widely adopted serial communication interface recognized for its efficiency and reliability, requiring only two conductors for data exchange.  
The Medical Blackbox is powered through a regulated external adapter compatible with standard 220V outlets, ensuring the stable and safe operation of all internal components as illustrated in the electrical schematic.