Unique ID issued by UMIN | UMIN000052386 |
---|---|
Receipt number | R000059803 |
Scientific Title | Development of sleep stages estimation method using cardiovascular indicators |
Date of disclosure of the study information | 2023/10/03 |
Last modified on | 2024/06/07 12:22:21 |
Development of sleep stages estimation method using cardiovascular indicators
Development of sleep stages estimation method using cardiovascular indicators
Development of sleep stages estimation method using cardiovascular indicators
Development of sleep stages estimation method using cardiovascular indicators
Japan |
Healthy participant
Adult |
Others
NO
To develop a technology to determine sleep stages using an earplug or ring-type blood flow meter
Efficacy
Detection accuracy of sleep stage 2 and sleep stage 3 emergence timing evaluated using Kyocera blood flow and acceleration sensors
1. Sleep stages obtained by visual sleep staging by a clinical laboratory technician after obtaining biometric data from electroencephalography, electrooculography, electromyography, etc. of polysomnography
2. Kyocera's blood flow and acceleration sensors to be developed by Kyocera to evaluate the feeling of wearing them, their effect on sleep, etc.
3. Questionnaires (Morningness Eveningness Questionnaire, Pittsburgh Sleep Quality Index, OSA sleep inventory)
4. Evaluation of sleep with MotionWatch 8 by CamNtech Ltd and Oura Ring 3 by Oura Health Oy.
Observational
20 | years-old | <= |
Not applicable |
Male and Female
1. Having no difficulty in filling out Japanese explanatory documents, consent forms, and survey forms
2. No claustrophobia and being able to stay in the examination room on the 5th floor of the Innovation Medical Research Institute, University of Tsukuba.
3. Currently having no symptoms or no history for sleep disorder
1. Irregular lifestyle (A guideline for regular life: 21: 00 ~ 1: 00 going to bed, getting up from 6: 00 ~ 9: 00)
2. BMI less than 18.5
3. Worked night shift (after 22:00) within the last 3 months
4. Having traveled to a country with a time difference of 3 hours or more within the last 3 months
5. Drink alcohol regularly (at least 40 g of pure alcohol [approximate: 2 cans of beer] twice a week or more)
6. Having a smoking habit
7. Daily caffeine intake of 300 mg or more (approximate: 5 cups of 150 mL coffee)
8.Morningness-Eveningness Questionnaire (MEQ) score 30 points or less or 70 points or above
9. Claustrophobia
10. Pregnant or its possibility
11. Lactation
12. Those who have a disease that may change suddenly or have a history
13. Those who have been treated for mental illness or sleep disorders, those who have symptoms that are currently being treated
14. Participant judged by the investigator to be inappropriate
170
1st name | Takashi |
Middle name | |
Last name | Abe |
University of Tsukuba
International Institute for Integrative Sleep Medicine (WPI-IIIS)
3050821
Innovation Medical Research Institute 502, 1-2 Kasuga, Tsukuba, Ibaraki
029-859-1469
abe.takashi.gp@u.tsukuba.ac.jp
1st name | Takashi |
Middle name | Medicine Takashi |
Last name | Abe |
University of Tsukuba
International Institute for Integrative Sleep Medicine (WPI-IIIS)
3050821
Innovation Medical Research Institute 502, 1-2 Kasuga, Tsukuba, Ibaraki
029-859-1469
abe.takashi.gp@u.tsukuba.ac.jp
University of Tsukuba
KYOCERA Corporation
Profit organization
The Clinical Research Ethics Review Committee of the University of Tsukuba Hospital
1-1-1 Tennnodai, Tsukuba, Ibaraki
029-853-3914
rinshokenkyu@un.tsukuba.ac.jp
NO
2023 | Year | 10 | Month | 03 | Day |
Published
45
Completed
2022 | Year | 06 | Month | 02 | Day |
2022 | Year | 06 | Month | 02 | Day |
2022 | Year | 09 | Month | 01 | Day |
2025 | Year | 03 | Month | 31 | Day |
The detection accuracy of sleep stage 2 and sleep stage 3 emergence timing is evaluated using Kyocera blood flow and acceleration sensors. Using the sleep stage determination obtained from the polysomnogram as the gold standard, the latencies of sleep stages 2 and 3 assessed using Kyocera blood flow and acceleration sensors are compared with the polysomnogram.
2023 | Year | 10 | Month | 03 | Day |
2024 | Year | 06 | Month | 07 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000059803