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E Huupponen

Showing results (1-10 of 11) with videos related to

Pageof 2
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Medical & Biological Engineering & Computing|December 23, 2003
Automatic analysis of electro-encephalogram sleep spindle frequency throughout the nightE Huupponen, S L Himanen, J Hasan, et al.
Journal of Sleep Research|June 2, 2001
Optimization of sigma amplitude threshold in sleep spindle detectionE Huupponen, A Värri, S L Himanen, et al.
Physiological Measurement|April 8, 2009
High frequency components of tracheal sound are emphasized during prolonged flow limitationM Tenhunen, E Rauhala, E Huupponen, et al.
Medical & Biological Engineering & Computing|August 6, 2008
Improved computational fronto-central sleep depth parameters show differences between apnea patients and control subjectsE Huupponen, T Saunamäki, A Saastamoinen, et al.
Journal of Medical Systems|September 14, 2000
Autoassociative MLP in sleep spindle detectionE Huupponen, A Värri, S L Himanen, et al.
Journal of Neuroscience Methods|May 17, 2008
Diffuse sleep spindles show similar frequency in central and frontopolar positionsE Huupponen, A Kulkas, M Tenhunen, et al.
Medical & Biological Engineering & Computing|February 22, 2008
Detection of compressed tracheal sound patterns with large amplitude variation during sleepA Kulkas, E Rauhala, E Huupponen, et al.
Computers in Biology and Medicine|August 29, 2009
Intelligent methods for identifying respiratory cycle phases from tracheal sound signal during sleepA Kulkas, E Huupponen, J Virkkala, et al.
Medical & Biological Engineering & Computing|February 12, 2009
New tracheal sound feature for apnoea analysisA Kulkas, E Huupponen, J Virkkala, et al.
Physiological Measurement|February 13, 2010
Tracheal sound parameters of respiratory cycle phases show differences between flow-limited and normal breathing during sleepA Kulkas, E Huupponen, J Virkkala, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Medical & Biological Engineering & Computing|December 23, 2003
Automatic analysis of electro-encephalogram sleep spindle frequency throughout the nightE Huupponen, S L Himanen, J Hasan, et al.
Journal of Sleep Research|June 2, 2001
Optimization of sigma amplitude threshold in sleep spindle detectionE Huupponen, A Värri, S L Himanen, et al.
Physiological Measurement|April 8, 2009
High frequency components of tracheal sound are emphasized during prolonged flow limitationM Tenhunen, E Rauhala, E Huupponen, et al.
Medical & Biological Engineering & Computing|August 6, 2008
Improved computational fronto-central sleep depth parameters show differences between apnea patients and control subjectsE Huupponen, T Saunamäki, A Saastamoinen, et al.
Journal of Medical Systems|September 14, 2000
Autoassociative MLP in sleep spindle detectionE Huupponen, A Värri, S L Himanen, et al.
Journal of Neuroscience Methods|May 17, 2008
Diffuse sleep spindles show similar frequency in central and frontopolar positionsE Huupponen, A Kulkas, M Tenhunen, et al.
Medical & Biological Engineering & Computing|February 22, 2008
Detection of compressed tracheal sound patterns with large amplitude variation during sleepA Kulkas, E Rauhala, E Huupponen, et al.
Computers in Biology and Medicine|August 29, 2009
Intelligent methods for identifying respiratory cycle phases from tracheal sound signal during sleepA Kulkas, E Huupponen, J Virkkala, et al.
Medical & Biological Engineering & Computing|February 12, 2009
New tracheal sound feature for apnoea analysisA Kulkas, E Huupponen, J Virkkala, et al.
Physiological Measurement|February 13, 2010
Tracheal sound parameters of respiratory cycle phases show differences between flow-limited and normal breathing during sleepA Kulkas, E Huupponen, J Virkkala, et al.
Pageof 2