Unique ID issued by UMIN | UMIN000048937 |
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Receipt number | R000055760 |
Scientific Title | Patch-type EEG and PSG measurements for sleep stage scoring AI system |
Date of disclosure of the study information | 2022/09/21 |
Last modified on | 2024/03/18 10:08:42 |
Patch-type EEG and PSG measurements for sleep stage scoring AI system
Patch-type EEG and PSG measurements for sleep stage scoring AI system
Patch-type EEG and PSG measurements for sleep stage scoring AI system
Patch-type EEG and PSG measurements for sleep stage scoring AI system
Japan |
Healthy volunteer
Not applicable |
Others
NO
Sleep stage prediction model is developed by EEG acquired by HARU-2 and sleep stages labeled by sleep expert technicians.
Others
Investigation of sleep-stage prediction algorithm
Accuracy (%)
Observational
20 | years-old | <= |
60 | years-old | > |
Male and Female
1. Males and females aged 20 to 60 at the time of informed consent
2. BMI is between 18.5 and 25.0
3. PSQI less than 6 (PSQI: Pittsburgh Sleep Questionnaire
4. Usually going to bed between 20:00 and 24:30 and sleeping more than 4 hours a night
1. Pregnant or breastfeeding
2. Have a disease receiving lifestyle guidance
3. Have sleep disorders (insomnia, hypersomnia, sleep apnea syndrome, etc.)
4. Work at night or shift work
64
1st name | Shusuke |
Middle name | |
Last name | Yoshimoto |
PGV Inc.
Engineering Div.
103-0027
2-15-5, Nihonbashi, Chuo-ku, Tokyo, Japan
03-6262-7745
yoshimoto@pgv.co.jp
1st name | Shusuke |
Middle name | |
Last name | Yoshimoto |
PGV Inc.
Engineering Div.
103-0027
2-15-5, Nihonbashi, Chuo-ku, Tokyo, Japan
03-6262-7745
yoshimoto@pgv.co.jp
PGV Inc.
PGV Inc., SHIONOGI & CO., LTD.
Profit organization
PGV Inc.
2-15-5, Nihonbashi, Chuo-ku, Tokyo, Japan
03-6262-7745
contact@pgv.co.jp
NO
太田睡眠科学センター(神奈川県)
2022 | Year | 09 | Month | 21 | Day |
Unpublished
Completed
2022 | Year | 08 | Month | 01 | Day |
2022 | Year | 06 | Month | 23 | Day |
2022 | Year | 09 | Month | 21 | Day |
2023 | Year | 01 | Month | 31 | Day |
2023 | Year | 02 | Month | 28 | Day |
2023 | Year | 05 | Month | 31 | Day |
Observation items
1. PSG data such as electroencephalogram, heart rate, electromyography, electrooculogram, SpO2
2. Sleep stage label
3. SAS Diagnosis Results
4. Electroencephalogram data using HARU-2
5. Age and gender interview results and questionnaire responses
2022 | Year | 09 | Month | 14 | Day |
2024 | Year | 03 | Month | 18 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000055760
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