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

This paper describes a method of detecting and analyzing breathing rate and approximate depth during physical activity in a Bluetooth Wireless On-Body-Network (OBN) in the context of a Spinal Cord Injured patient. Conventional signal processing techniques and sensor fusion through a Linear Kalman Filter will be used to fuse signals from a piezoelectric breathing band and two tri-axis accelerometers. Results will show that the proposed method provides very accurate measurements of breathing rate and depth at rest and during physical activity.