Title :
Quantitative assessment of respiratory derivation algorithms
Author :
Mason, C.L. ; Tarassenko, L.
Author_Institution :
Dept. of Eng. Sci., Oxford Univ., UK
Abstract :
A method for quantitatively assessing respiration derivation algorithms is presented. Algorithms for deriving respiration from the electrocardiogram using respiration-induced amplitude modulation of the QRS complex are investigated. The algorithms are tested on the MIT-BIH Polysomnography Database and evaluated and compared using the proposed assessment method.
Keywords :
electrocardiography; medical signal processing; pneumodynamics; sleep; waveform analysis; MIT-BIH Polysomnography Database; QRS complex; beat matching; electrocardiogram; inductance plethysmography; quantitative assessment; respiration induces changes; respiration-induced amplitude modulation; respiratory derivation algorithms; test annotation files; Algorithm design and analysis; Amplitude modulation; Databases; Electrocardiography; Electrodes; Heart; Performance analysis; Performance evaluation; Testing; Transducers;
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
Print_ISBN :
0-7803-7211-5
DOI :
10.1109/IEMBS.2001.1020622
