## 4 Results
### Selected Illustrations of Implemented Devices
#### 4.1.2 The EMG Blackbox Device  
Geared toward monitoring patient neuromuscular activity, the EMG Blackbox employs high-sensitivity gel electrodes to record muscle electrical activity with minimal interference. To improve the accuracy of the EMG signal, the device incorporates noise-filtering techniques for eliminating artifacts. Preliminary laboratory tests indicate that the EMG  
Figure 8: Electrical schematic of the Medical Blackbox, illustrating the integration of multiple biomedical sensors with the Arduino Mega microcontroller. The schematic was developed.  
Blackbox is highly effective in capturing muscle activity patterns with high precision and minimal latency, therefore allowing healthcare specialists to assess the evolution of muscle function, and detect early signs of neuromuscular deterioration, ensuring a proactive approach to patient monitoring. A frontal view of the device, as well as its internal structure, can be observed in Figure 9.  
The EMG Blackbox device is designed for capturing and analyzing EMG signals in real time. It integrates multiple technological components to ensure the high-fidelity acquisition and wireless transmission of muscle activity data. The core sensing component consists of surface EMG electrodes, which record the electrical activity of the target muscles. The MyoWare 2.0 Wireless Shield processes the EMG signals, while the MyoWare 2.0 LED Shield visually indicates muscle contraction intensity. For wireless communication, the system employs the ESPRESSIF ESP32-WROOM-32E module, which facilitates secure Wi-Fi connectivity to the local network and platform. Power is supplied either via a USB-C interface or through a rechargeable battery, ensuring operational flexibility. The system is configured for straightforward deployment: the EMG sensors are attached to the specific muscle groups, and the ESP32 microcontroller is programmed to collect, process, and transmit the acquired signals. Data integration into the Monit4 Healthy platform is accomplished via API configuration, enabling comprehensive clinical analysis and patient management based on EMG data.  
The EMG Blackbox is built using off-the-shelf components, selected specifically for their reliability, accessibility, and ease of integration in prototyping and research environments. The device utilizes commercially available modules such as the MyoWare 2.0 EMG sensor and the ESPRESSIF ESP32-WROOM-32E Wi-Fi module, interconnected via standard breadboard configurations. Schematics (presented in Figure 10) were designed using Fritzing software 1.0.4, to clearly illustrate the hardware integration and signal flow. While the current implementation leverages off-the-shelf components to expedite development  
Figure 9: The EMG Blackbox: (**a**) frontal view showing the compact enclosure housing the data acquisition unit; (**b**) internal structure illustrating the integration of biomedical sensors, signal conditioning circuitry, and microcontroller components used for real-time EMG signal processing and wireless data transmission.  
and testing, future iterations of the EMG Blackbox will focus on designing a custom PCB, which will allow for miniaturization, improved signal integrity, and enhanced suitability for clinical use cases.