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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Alonso, J.F. Mananas, M.A. Hoyer, D. Topor, Z.L. Bruce, E.N. |
| Copyright Year | 2004 |
| Description | Author affiliation: Dept. Autom. Control, Catalonia Tech. Univ., Barcelona, Spain (Alonso, J.F.; Mananas, M.A.) |
| Abstract | 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. |
| Starting Page | 114 |
| Ending Page | 117 |
| File Size | 331833 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780384393 |
| DOI | 10.1109/IEMBS.2004.1403104 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-09-01 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Information analysis Signal analysis Muscles Mutual information Electromyography Diseases Protocols Time series analysis Valves Sleep apnea vibromyography muscle activity pulmonary disease mutual information |
| Content Type | Text |
| Resource Type | Article |
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