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Wireless transmission of biosignals for hyperbaric chamber applications
Carlos Perez-Vidal1, Luis Gracia2, Cristian Carmona3
1Department of Systems Engineering and Automation, Miguel Hernandez University, Elche, Spain.
Plos One
|March 16, 2017
Summary
This study introduces a wireless system for transmitting patient biosignals from hyperbaric chambers, overcoming wired limitations. The developed wearable device utilizes a ZigBee network for reliable electrocardiography signal transmission outside the chamber.
Area of Science:
- Biomedical Engineering
- Medical Devices
- Wireless Communication
Background:
- Hyperbaric chambers, increasingly used for novel oxygen therapies, pose challenges for patient monitoring due to metallic walls isolating patients.
- Transmitting vital signs from within a hyperbaric chamber traditionally requires cumbersome wiring, complicating patient care and data acquisition.
Purpose of the Study:
- To develop and validate a wireless system for transmitting biosignals from inside a hyperbaric chamber to an external monitoring location.
- To overcome the limitations of wired connections through metallic chamber walls.
- To create a versatile platform adaptable for various biosignal monitoring needs.
Main Methods:
- Design and implementation of a wearable, battery-powered device.
- Utilization of a ZigBee-based wireless network for data transmission.
- Testing of the system for transmitting electrocardiography (ECG) signals.
Main Results:
- Successful wireless transmission of biosignals, specifically ECG, from within a hyperbaric chamber.
- Demonstration of a practical solution to bypass the physical isolation imposed by chamber walls.
- The developed device proved effective and adaptable for biosignal monitoring.
Conclusions:
- The proposed wireless system effectively transmits biosignals from hyperbaric chambers, enhancing patient monitoring capabilities.
- The wearable device offers a viable alternative to traditional wired methods, improving safety and convenience.
- The system's design allows for future adaptation to monitor other critical patient biosignals.

