Unique ID issued by UMIN | UMIN000042144 |
---|---|
Receipt number | R000048105 |
Scientific Title | Study on physiological responses to unpleasant stimuli. |
Date of disclosure of the study information | 2020/10/18 |
Last modified on | 2025/05/12 22:20:06 |
Study on physiological responses to unpleasant stimuli.
Study on physiological responses to unpleasant stimuli.
Study on physiological responses to unpleasant stimuli.
Study on physiological responses to unpleasant stimuli.
Japan |
Healthy adults
Adult |
Others
NO
To investigate and compare physiological responses to various unpleasant stimuli.
Others
- Relevance between emotions and physiological responses elicited by unpleasant stimuli.
- Relevance between different unpleasant stimulus responses.
Exploratory
Not applicable
Evaluation of blood circulation and autonomic nervous system.
questionnaire
Interventional
Single arm
Non-randomized
Open -no one is blinded
Self control
1
Educational,Counseling,Training
Other |
Unpleasant stimuli
18 | years-old | <= |
24 | years-old | >= |
Male
Young healthy adult male
- Intake of drugs.
- Sleep deprivation
- physical deconditioning
90
1st name | Masaji |
Middle name | |
Last name | Yamashita |
Hokkaido University of Science
Faculty of Health Sciences
006-8585
7-15-4-1 Maeda, Teine, Sapporo
011-688-2230
yamashita@hus.ac.jp
1st name | Masaji |
Middle name | |
Last name | Yamashita |
Hokkaido University of Science
Faculty of Health Sciences
8585
7-15-4-1 Maeda, Teine, Sapporo
011-688-2230
yamashita@hus.ac.jp
Hokkaido University of Science
MEXT(Japan)
Japanese Governmental office
IRB of Hokkaido University of Science
7-15-4-1 Maeda, Teine, Sapporo
011-688-2241
kenkyu@hus.ac.jp
NO
北海道科学大学
2020 | Year | 10 | Month | 18 | Day |
Published
90
We investigated physiological responses common to multiple unpleasant emotions with different arousal levels. Using the blood pressure waveform analysis method we developed, we found that multiple waveform components changed in common only in response to unpleasant stimuli with different arousal levels. The cross-correlation between these parameters and questionnaire scores was significant. In the deep learning analysis of blood pressure waveforms, the identification rate of unpleasant stimuli reached 90%.
2025 | Year | 05 | Month | 12 | Day |
Healthy young male adult
None
Parameters of blood pressure wave component, physiological parameters, questionnaire scores, cross-correlation rates, identification rates
None
None
Completed
2020 | Year | 07 | Month | 15 | Day |
2020 | Year | 10 | Month | 08 | Day |
2020 | Year | 10 | Month | 20 | Day |
2025 | Year | 05 | Month | 15 | Day |
2025 | Year | 05 | Month | 15 | Day |
2020 | Year | 10 | Month | 17 | Day |
2025 | Year | 05 | Month | 12 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000048105