| Autor: |
Alonso JF; Department Automatic Control, Biomed. Eng. Research Center, Technical University of Catalonia, UPC, Barcelona, Spain., Mañanas MA, Hoyer D, Topor ZL, Bruce EN |
| Jazyk: |
angličtina |
| Zdroj: |
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference [Conf Proc IEEE Eng Med Biol Soc] 2004; Vol. 2006, pp. 114-7. |
| DOI: |
10.1109/IEMBS.2004.1403104 |
| Abstrakt: |
Analysis of respiratory muscle activity is a promising technique for the study of pulmonary diseases such as obstructive sleep apnea syndrome (OSAS). Evaluation of interactions between muscles is very useful in order to determine the muscular pattern during an exercise. These interactions have already been assessed by means of different linear techniques like cross-spectrum, magnitude squared coherence or cross-correlation. The aim of this work is to evaluate interactions between respiratory and myographic signals through nonlinear analysis by means of cross mutual information function (CMIF), and finding out what information can be extracted from it. Some parameters are defined and calculated from CMIF between ventilatory and myographic signals of three respiratory muscles. Finally, differences in certain parameters were obtained between OSAS patients and healthy subjects indicating different respiratory muscle couplings. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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