Teaching Courses

Teaching Courses 

On Thursday 23rd of May a range of special teaching courses are offered which delegates can register to attend.

The courses are not included in the registration fee, but can booked and paid for when you register for conference.  

Teaching course 1: Polysomnography (PSG) –scoring of sleep and sleep related events

The aim of the course is to provide basic competence in the interpretation of PSG data. The course provides an introduction to AASM’s scoring rules for sleep and sleep-related events. The teaching will be an introduction to polysomnography, and a review of AASM Criteria for Scoring of Sleep Stages and Arousals. There will be time for discussions and sleep scoring in plenum.

  • Chair: Janne Grønli, University of Bergen
  • Speakers: Janne Grønli and Ingvild West Saxvig
  • Time: 08:30
  • Fee:  kr 400

Teaching course 2: Non-pharmacological interventions for sleep disorders

Cognitive and behavioral techniques are important treatment components in the management of several different sleep disorders. Nordic research in this area is highly advanced and has had major impact on the field. The target audience includes researchers in the area as well as clinical staff with an interest in the field.

The teaching course will focus on cognitive behavioral therapy for insomnia and bright light treatment for circadian rhythm sleep-wake disorders. We will also introduce non-pharmacological interventions for other sleep disorders, like obstructive sleep apnea, restless legs syndrome, and parasomnia.

  • Chair: Bjørn Bjorvatn, University of Bergen
  • Speakers: Bjorvatn Bjørn, Tuuliki Hion, Jernelöv Susanna and Pallesen Ståle
  • Time: 08:30
  • Fee: kr 400

Teaching course 3: Occupational stress, burnout and disturbed sleep

Long-term occupational stress and stress disorders such as burnout are common in modern working life and is associated with many adverse health outcomes, including increased risk of developing insomnia. However, elevated levels of occupational stress may not cause health risks if the employee obtain sufficient, high quality, sleep. Thus, the combination of occupational stress and impaired sleep might be a key mechanism to understand how stress is linked to illness. Results from polysomnography studies showed mixed results, even though long-term exposure to severe occupational stress, for example burnout, has been related to substantial reductions in sleep continuity and slow wave sleep.

A key factor for the relationship between occupational stress and disturbed sleep is rumination, for example inability to shut off thoughts about work. Hence, it is not a stressful work day by itself that disturb sleep, but rather high cognitive arousal at bedtime (hyperarousal) that interferes with initiation of sleep. Clinical research on burnout (and similar concepts such as exhaustion disorder) suggests that cognitive behavioral therapy (CBT) is an effective treatment for stress-related disorders. Furthermore, treatment of disturbed sleep seems to be an important mediator of the reduction of stress symptoms. Thus, sleep improvement predicted subsequent reduction in stress symptoms (burnout), which suggests that sleep disturbances should be targeted in CBT-treatment of clinical stress disorders.

  • Chair: Göran Kecklund, Stockholm University
  • Time: 08:30
  • Fee: kr 400

Teaching course 4: Active learning exercises for teaching physiology and polysomnography

Active learning is a set of teaching techniques that, in contrast to the traditional lecture format, requires the continuous active participation of learners in the educational process.  The purpose of this half-day course will be to introduce educators to some active learning exercises that have been applied successfully to the education of medical students at the Elson S. Floyd College of Medicine at Washington State University and the University of Washington School of Medicine.  The active learning exercises will be taught by example: participants will engage in a series of interactive exercises in which they reflect on, discuss, and assess their knowledge of physiology at the cellular and systems level.  Participants will be given electronic resources at the end of the course to serve as templates for the development of their own active learning teaching materials.

  • Chair: Janne Grønli, University of Bergen
  • Speakers: Jonathan Wisor
  • Time: 08:30
  • Fee: kr 200

Teaching course 5:  A practical workshop on applying machine learning to medical data

The goal of this symposium/workshop is to provide researchers who are interested in recent machine and deep learning approaches to medical data analysis with a guide to getting started, in terms of computer language, framework and equipment choices, an overview of the potential of these methods, and information on some of the practical pitfalls. Nox Medical will provide us with the benefit of their considerable experience in developing their product, on some of the practical pitfalls with respect to processing the data from sleep monitoring and applying machine learning techniques to medical data.

  • Chair: Jacky Mallett, Reykjavik University 
  • Speakers: Jacky Mallett, Michael Borsky and Jón Ágústsson
  • Time: 10:20
  • Fee: kr 200