Special Sessions


Master Classes

Revamped Master Classes (formerly Teaching Courses) covering a wider range of topics and aimed at various career levels.

1. Cognitive Behavioural Therapy for Insomnia Disorder – The new guidelines on evaluation and treatment of insomnia disorder and the treatment of choice.

Part 1 ⇾ Part 2 ⇾

Target Audience: Qualified health professionals who are involved in the diagnosis and the treatment of insomnia (e.g. clinical psychologists, psychotherapists, psychiatrists, neurologists, general practitioners, paediatricians, gynaecologists, geriatrics).

Learning Objectives: The course aims at offering to health professionals comprehensive information on evidence based diagnosis and treatment of insomnia. It includes a focus on the first line intervention for the disorder, comparing different therapeutical approaches and their mechanisms. Furthermore, the course considers the role of different steps and professionals in the care of insomnia with an attention on the lifespan and on specific clinical populations.

2. A course on sleep research in animal models: experimental design, methodology, sleep scoring and data analysis

Part 1 ⇾ Part 2 ⇾

Target Audience: TBA

Learning Objectives: TBA

3. Wearable sensors and artificial intelligence for sleep medicine and sleep research: a primer for clinicians and biomedical scientists

Part 1 ⇾ Part 2 ⇾

Target Audience: Clinicians, psychologists, scientists, and technicians with an interest in contemporary applications of wearable sensors and artificial intelligence to sleep medicine, sleep research and public health. The course specifically targets an audience with a bio-medicine or psychology background and does not require expertise in engineering, physics, or mathematics. Previous clinical and/or research experience with wearable sensors is an advantage but not required

Learning Objectives:
1. Grasp the physics and physiology behind the different information content of different wearable sensors for sleep medicine and sleep research.
2. Learn the essential concepts and vocabulary of artificial intelligence for the analysis of sensor data in the sleep field.
3. Understand the current options for data representations for multimodal wearable sleep recordings.
4. Get the basics on the current state of the science and recommendations for using wearable technology in sleep and circadian research.

4. Telemedicine: the game-changer in sleep-disordered breathing

Part 1 ⇾ Part 2 ⇾

Target Audience: All professionals who practice sleep medicine, with interest in the use telemedicine in all aspects of sleep-disordered breathing.

Learning Objectives:
1. To obtain an overview of using digital technologies in the diagnosis and management of sleep-disordered breathing.
2. To highlight the clinical implementation of telemedicine in the follow-up of patients with sleep apnoea.
3. To discuss the role of telemedicine in the implementation of personalized medicine.

5. What’s new on pharmacological treatment sleep disorders across the lifespan

Part 1 ⇾ Part 2 ⇾

Target Audience:

Learning Objectives:

6. What makes a great Paper?

Part 1 ⇾ Part 2 ⇾

Target Audience: Early and mid-career researchers particularly and those just starting to submit the results of their research but open to all.

Learning Objectives: This workshop summarises how research papers should be structured for maximum impact and communication of results, how reviewing a paper is best undertaken for improving scientific quality. We will stress the importance of understanding and following ICJME (International Committee of Medical Journal Editors) guidelines, as well as discussing common ethical issues that occur in the world of scientific publishing. Audience participation is essential.

7. Lessons and challenges in performing Big Data neuroimaging analyses in sleep research

Part 1 ⇾ Part 2 ⇾

Target Audience: Early-, mid- and late-career scientists with an interest in setting up consortia and using big data for sleep research.

Learning Objectives: After following this teaching course, attendees will have an understanding of challenges associated with performing big data analyses, and the application to sleep research.

Breakfast Buzz: Stimulating Roundtables

New, exclusive early morning sessions exploring hot topics from multiple points of view over breakfast.

Wearable EEG to monitor and modulate sleep: state of the art and clinical outlook.

More details ⇾

Basic Human – Neuroimaging big data analysis in sleep research

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Neurology – Different national cohort of rapid eye movement sleep behavior patients: risk factors for conversion and opportunity for trial

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Access ESRS Sleep Europe 2024 Programme