Wearable, Multimodal, Biosignal Acquisition System for Potential Critical and Emergency Applications

Area of Science:

• Biomedical Engineering
• Medical Device Technology
• Wearable Health Systems

Background:

• Intensive care units (ICUs) require multi-monitor patient surveillance, often leading to complex setups burdensome for patients and staff.
• Existing commercial devices typically measure only one biological signal, increasing costs and hindering remote integration.
• There is a need for integrated, multi-signal wearable devices for efficient patient monitoring in critical care.

Purpose of the Study:

• To develop a novel wearable device integrating multiple biosignal monitoring capabilities.
• To create a modular system for simultaneous recording of electrocardiography (ECG), electroencephalography (EEG), and peripheral oxygen saturation (SpO2).
• To address the limitations of single-function monitoring devices in emergency and ICU settings.

Main Methods:

• Designed a modular, integrated system for simultaneous EEG, ECG, and SpO2 signal acquisition.
• Utilized a logic level converter to interface EEG, ECG, and SpO2 modules with an Arduino microcontroller.
• Implemented consistent overhead byte stuffing (COBS) for efficient data encoding and decoding.

Main Results:

• The developed system successfully integrates and records EEG, ECG, and SpO2 signals concurrently.
• Simulation tests confirmed proper functioning of all individual modules and the integrated system.
• The modular design allows for potential future expansion with additional monitoring functionalities.

Conclusions:

• The developed wearable device offers a promising integrated solution for multi-biosignal monitoring in medical applications.
• This system has the potential to reduce patient burden and improve monitoring efficiency in ICUs and emergency settings.
• Future iterations can be expanded to support a wider range of critical care monitoring needs.