Wireless On-Body-Network breathing rate and depth measurement during activity

Area of Science:

• Biomedical Engineering
• Rehabilitation Technology
• Wearable Sensors

Background:

• Accurate respiratory monitoring is crucial for spinal cord injury (SCI) patients, especially during physical activity.
• Existing methods for respiratory monitoring can be cumbersome or inaccurate during movement.
• Wireless on-body networks offer a potential solution for continuous, unobtrusive monitoring.

Purpose of the Study:

• To develop and validate a novel method for detecting and analyzing breathing rate and depth.
• To assess the efficacy of this method in SCI patients during rest and physical activity.
• To utilize a Bluetooth Wireless On-Body-Network (OBN) for real-time respiratory data acquisition.

Main Methods:

• Employing conventional signal processing techniques for data analysis.
• Utilizing sensor fusion with a Linear Kalman Filter to integrate data from multiple sensors.
• Integrating signals from a piezoelectric breathing band and two tri-axis accelerometers within an OBN.

Main Results:

• The proposed method demonstrated highly accurate measurements of breathing rate.
• Approximate breathing depth was also measured with significant accuracy.
• Accurate respiratory data was obtained both at rest and during various physical activities.

Conclusions:

• The developed OBN-based method provides a reliable and accurate approach for respiratory monitoring in SCI patients.
• This technology can significantly aid in the management and rehabilitation of individuals with spinal cord injuries.
• The sensor fusion technique enhances the precision of breathing rate and depth detection during physical exertion.