Ph.D. theses

Ph.D. theses

  1. Leino A. Novel computational methods for improved sleep apnea diagnostics: special focus on stroke patients. UEF E-publications. 2022
  2. Kalevo L. Enhanced home sleep apnea testing with a patient-applied EEG electrode set. UEF E-publications. 2022
  3. Nikkonen S. Novel computational tools for enhanced diagnostics of obstructive sleep apnea. UEF E-publications. 2020
  4. Kainulainen S. Pulse oximetry-derived biomarkers for severity assessment of obstructive sleep apnea. UEF E-publications. 2020
  5. Korkalainen H. Deep Learning for Next-Generation Sleep Diagnostics: sophisticated computational methods for more efficient and accurate assessment of sleep and obstructive sleep apnea. UEF E-publications. 2020
  6. Miettinen T. Suitability of a self-applicable electrode set for polysomnographic assessment of sleep bruxism in the home environment. UEF E-publications. 2019
  7. Leppänen T. Novel methods for diagnostics of obstructive sleep apnea: effect of weight loss, gender, and sleeping position on severity of apnea, hypopnea and desaturation events. UEF E-publications.2016
  8. Lepola P. Novel EEG electrode set for emergency use. UEF E-Publications. 2014
  9. Muraja-Murro A. Obstruction Event Severity in Diagnostics of Sleep Apnea. UEF E-Publications. 2014
  10. Tiihonen P. Novel portable devices for recording sleep apnea and evaluating altered consciousness. UEF E-Publications. 2009