Healty adults
Conditions
Interventions
Sponsors
Eligibility
Inclusion criteria
Inclusion criteria: -Those who can read and write documents in English and have no difficulty speaking English. -Those who could stay in the laboratory on the fifth floor of the University of Tsukuba Medical Innovation Medical Research Institute.
Exclusion criteria
Exclusion criteria: 1. Individuals with an irregular lifestyle, characterized by deviating sleep patterns from the conventional schedule of going to bed between 9 PM and 1 AM and waking up between 6 AM and 9 AM 2. Underweight (BMI less than 18.5) or overweight (BMI greater than 25) 3. Worked night shift (after 10 PM) within the past 3 months 4. Traveled to a country with a time difference of more than 3 h within the past 3 months 5. Habitual alcohol drinkers (more than 40 g of pure alcohol [approximately two cans of beer] at least twice per week). 6. Smoking habituated 7. Consume more than 300 mg of caffeine daily (approximately five cups of 150 mL coffee). 8. Individuals with a score of 38 or more on the Trait Anxiety Scale of the State Trait Anxiety Inventory (STAI) 9. Individuals with a score of 14 or more on the Beck Depression Inventory (BDI II) 10. Individuals with a score of 6 or more on the Pittsburgh Sleep Quality Index 11. Have claustrophobia. 12. Pregnant or possibly pregnant women 13. Breastfeeding individuals 14. Have an illness or a history of an illness with the potential for sudden changes 15. Patients who have received treatment for psychiatric symptoms or sleep disorders or who currently have symptoms and are subject to treatment. Individuals who have previously or are currently taking prescription medication for mental disorders or sleep disorders. Individuals who meet all the selection criteria and do not fall under the exclusion criteria 1 to 14 will be referred to a psychiatrist. The psychiatrist will make the decision regarding participation in the experiment based on the screening information. Additionally, if required, we may conduct interviews, and individuals deemed unsuitable will be excluded from the study.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The F-score is utilized to evaluate the predictive performance of the machine learning model on the emotional valence and arousal of dreams containing emotions. | — |
Countries
Japan
Contacts
University of Tsukuba International Institute for Integrative Sleep Medicine