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Improving Automatic Detection of Obstructive Sleep Apnea Through Nonlinear Analysis of Sustained Speech., , , and . Cogn. Comput., 5 (4): 458-472 (2013)Analysis of voice features related to obstructive sleep apnoea and their application in diagnosis support., , , , , and . Comput. Speech Lang., 28 (2): 434-452 (2014)Assessment of Severe Apnoea through Voice Analysis, Automatic Speech, and Speaker Recognition Techniques., , , , , and . EURASIP J. Adv. Signal Process., (2009)Severe Apnoea Detection using Speaker Recognition Techniques., , , , , and . BIOSIGNALS, page 124-130. INSTICC Press, (2009)Analyzing Training Dependencies and Posterior Fusion in Discriminant Classification of Apnea Patients Based on Sustained and Connected Speech., , , , and . INTERSPEECH, page 3033-3036. ISCA, (2011)A method for informed selection of memory-length and nonlinearity-order parameters in Volterra-Wiener systems from exponential sweep excitations., and . Multidimens. Syst. Signal Process., 29 (4): 1861-1893 (2018)Sharing Human-Generated Observations by Integrating HMI and the Semantic Sensor Web., , , , , , and . Sensors, 12 (5): 6307-6330 (2012)Using SCXML to Integrate Semantic Sensor Information into Context-aware User Interfaces., , , and . SSW, page 47-59. SciTePress, (2010)Using SCXML for Semantic Sensor Networks., , , and . SSN, volume 668 of CEUR Workshop Proceedings, CEUR-WS.org, (2010)Improving speech interaction in vehicles using context-aware information through an SCXML framework., , , and . ESSV, volume 58 of Studientexte zur Sprachkommunikation, page 243-250. TUDpress, Dresden, (2010)