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Amount of weight loss or gain influences the severity of respiratory events in sleep apnea.

Antti KulkasTimo LeppänenJohanna SahlmanPekka TiihonenEsa MervaalaJ. KokkarinenJ. RandellJ. SeppäJuha TöyräsH. Tuomilehto
Published in: Medical Biol. Eng. Comput. (2015)
Keyphrases
  • apnea hypopnea
  • sleep apnea
  • sleep stage
  • obstructive sleep apnea
  • physiological parameters
  • automatic analysis
  • support vector
  • artificial neural networks
  • event detection
  • total weight