Health worker monitoring: Kalman-based software design for fault isolation in human breathing

Breathing is an involuntary action by the human body, and irregularities in breathing suggest possible respiratory disorders. This paper proposes a signal-noise separation algorithm for estimating the Oxygen partial pressure pression, an important respiratory parameter, by means of Kalman filtering. This technique is considered a powerful method to detect and isolate signal noise and it represents one of the most significant approach for multisensory data fusion measurements. Our results show that this technique can effectively filter out sensor noise.