IoT - Driven Bioelectrical Signals Detection and Monitoring System

The integration of Internet of Things (IoT) technology in healthcare has opened new avenues for monitoring and managing patient health remotely. This paper presents the development of innovative bioelectrical signals (Electrocardiography, Electroencephalography, and Electromyography) detection and IoT based monitoring system utilizing ESP32 microcontroller and Bioamp sensor technology. The primary aim of this research is to create a reliable, efficient and user-friendly IoT solution for healthcare, focusing on remote monitoring and analysis of heart, brain and muscle activities. The system architecture comprises a compact wearable Bioamp sensor array capable of capturing ECG, EEG and EMG signals. These signals are processed and transmitted by the ESP32 microcontroller which serves as the central unit for data acquisition, preprocessing and wireless communication. The ESP32 is chosen for its high performance, low power consumption and built-in Wi-Fi capabilities making it ideal for IoT applications. The integration of an Adafruit ILI9341 LCD screen provides real-time visual feedback of the bioelectrical signals and system status to the user. The IoT aspect is realized through the ESP32’s Wi-Fi module which enables the transmission of the processed bioelectrical signal data to a cloud server. This setup allows for remote monitoring and data analysis. This paper discusses the security and privacy concerns associated with transmitting sensitive health data and presents the measures taken to ensure data integrity and confidentiality.