Data Fusion for Improved Respiration Rate Estimation

• Published in: EURASIP journal on advances in signal processing Vol. 2010; no. 1; p. 926305
• Main Authors: Nemati, Shamim, Malhotra, Atul, Clifford, Gari D.
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.01.2010; SpringerOpen
• Subjects: Algorithms; Data fusion; Data integration; Engineering; Estimates; Noise; Quantum Information Technology; Research Article; Respiration; Respiratory rate; Robust Processing of Nonstationary Signals; Signal quality; Signal,Image and Speech Processing; Spintronics; Breathing Rate; Peripheral Arterial Tonometry; Kalman Filter; Measurement Noise Covariance; Respiratory Sinus Arrhythmia

We present an application of a modified Kalman-Filter (KF) framework for data fusion to the estimation of respiratory rate from multiple physiological sources which is robust to background noise. A novel index of the underlying signal quality of respiratory signals is presented and then used to modi...