Integrating Flexible Sensor and Virtual Self-Organizing DC Grid Model With Cloud Computing for Blood Leakage...

Area of Science:

• Biomedical Engineering
• Medical Devices
• Sensor Technology

Background:

• Blood leakage and loss are critical complications during hemodialysis, posing significant risks to patients.
• Rapid blood loss can be fatal within minutes if the venous needle or blood line becomes disconnected.
• Current monitoring methods may not provide timely alerts for these life-threatening events.

Purpose of the Study:

• To develop a cloud computing-based warning device for early and accurate detection of blood leakage during hemodialysis.
• To integrate a flexible sensor and a self-organizing algorithm for real-time blood loss monitoring.
• To enhance patient safety by providing timely alerts to nephrology nurses and patients.

Main Methods:

• A flexible sensor array was fabricated using screen-printing with metallic materials on a soft substrate.
• A self-organizing algorithm was developed to create a virtual direct current grid-based alarm unit within an embedded system.
• The device was designed for wireless network and cloud computing integration to identify blood leakage levels.

Main Results:

• Experimental validation confirmed the device's capability to detect blood leakage.
• The results provide key specifications for the commercial design and implementation of the warning system.
• The proposed model demonstrated feasibility for integration into an embedded system for practical use.

Conclusions:

• The developed cloud-based warning device effectively detects blood leakage during hemodialysis.
• This technology offers a promising solution for preventing severe blood loss and improving patient outcomes.
• The system's design facilitates commercialization and implementation in clinical settings.