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.
Khoo
Joshua C T
JC
Monash University Centre for Biomedical Engineering (MUCBE), Clayton, Victoria 3800, Australia.
Brown
Ian T H
IT
Lim
Yoong P
YP
D000465:Algorithms; D006801:Humans; D018670:Monitoring, Ambulatory / Q000295:instrumentation*; D009043:Motor Activity; D012119:Respiration; D012815:Signal Processing, Computer-Assisted