| Unique ID issued by UMIN | UMIN000054382 |
|---|---|
| Receipt number | R000062112 |
| Scientific Title | Empirical study on confirmation and evaluation of temperature changes in the menstrual cycle (biphasic) using wearable devices capable of continuous temperature measurement (developed products) -Verification of reliability, validity, and clinical usefulness of confirmation and evaluation of temperature changes (biphasic) in the menstrual cycle- |
| Date of disclosure of the study information | 2024/06/07 |
| Last modified on | 2024/11/13 12:01:40 |
Empirical study on confirmation and evaluation of temperature changes in the menstrual cycle (biphasic) using wearable devices capable of continuous temperature measurement (developed products)
-Verification of reliability, validity, and clinical usefulness of confirmation and evaluation of temperature changes (biphasic) in the menstrual cycle-
Empirical study on confirmation of temperature changes in the menstrual cycle (biphasic) using wearable devices (developed products)
Empirical study on confirmation and evaluation of temperature changes in the menstrual cycle (biphasic) using wearable devices capable of continuous temperature measurement (developed products)
-Verification of reliability, validity, and clinical usefulness of confirmation and evaluation of temperature changes (biphasic) in the menstrual cycle-
Empirical study on confirmation of temperature changes in the menstrual cycle (biphasic) using wearable devices (developed products)
| Japan |
Female with menstrual cycle
| Obstetrics and Gynecology |
Others
NO
The purpose of this study is to demonstrate that the data continuously measured during sleep using the developed wearable device (hereinafter referred to as abdominal temperature) can capture biphasic temperature changes associated with the menstrual cycle, similar to the data measured in the mouth with a conventional women's thermometer at the time of waking up (hereinafter referred to as "mouth temperature"). The purpose of this service is to predict the ovulation period and the next menstrual cycle from the analysis results of measurement data, and to provide users with prediction of premenstrual syndrome based on understanding the correct menstrual cycle.
Safety,Efficacy
Confirmatory
Pragmatic
Not applicable
Confirmation of the feasibility of using abdominal temperature as a method of biphasic confirmation of the menstrual cycle
(1) Number of days in the high-temperature phase determined from the point of change in abdominal temperature and mouth temperature
(2) Correlation coefficient between the typical temperature of the day and the temperature of the mouth
(3) Validity as a continuous measurement method
(4) Verification of the accuracy of the menstrual cycle prediction model
Observational
| 25 | years-old | <= |
| 54 | years-old | >= |
Female
Women with a stable menstrual cycle in the last 3 cycles (28-35 day cycles)
1. Those who are currently attending a gynecological clinic and are undergoing treatment, those who have a history of uterine or ovarian surgery, and those who have a history or current infection of gynecological malignancies such as uterine cancer, ovarian cancer, and breast cancer
2. Those who take oral contraceptives such as pills or other female hormones
3. Those who are unable to participate due to physical or mental health reasons at the discretion of a physician
4. Persons who are unable to obtain consent due to personal circumstances, etc.
5. Those who are judged by the principal investigator to be inappropriate as the subject of this study
6. Those who are unable to communicate in Japanese
7. Those who are unable to connect to their own WIFI when sleeping, in an environment where 4G or 5G communication is not possible
8. Those who are pregnant
9. Those who are likely to become pregnant during the course (excluding sudden ones) * However, if it is found that you are pregnant during participation, you can continue
10. Those who are planning to travel or on a business trip and have to change their sleeping place (excluding sudden ones)
11. Those who work the night shift
60
| 1st name | Asako |
| Middle name | |
| Last name | Taniuchi |
EMICLE CLINIC
EMICLE CLINIC
420-0033
2F Sanko Bldg. 3-6 Showa-cho, Aoi-ku, Shizuoka city, Shizuoka, 420-0033, Japan
054-204-1186
a_taniuchi@marianna-u.ac.jp
| 1st name | Kazuma |
| Middle name | |
| Last name | Toda |
Healthcare Systems Co., Ltd.
Clinical Research Department
105-0004
Park Place 5F, 5-27-1 Shinbashi, Minato-ku, Tokyo, JAPAN
03-6809-2722
toda.kazuma@hc-sys.jp
Healthcare Systems Co., Ltd.
Murata Manufacturing Co., Ltd.
Profit organization
Shiba Palace Clinic Ethics Review Committee
DaiwaA Hamamatsucho Bldg. 6F, 1-9-10, Hamamatsucho, Minato-ku, Tokyo, JAPAN
03-5408-1599
shiba_palace@s-palace-clinic.com
NO
| 2024 | Year | 06 | Month | 07 | Day |
Unpublished
35
Completed
| 2024 | Year | 04 | Month | 11 | Day |
| 2024 | Year | 04 | Month | 11 | Day |
| 2024 | Year | 06 | Month | 08 | Day |
| 2024 | Year | 09 | Month | 30 | Day |
In this study, with the cooperation of healthy women with menstrual cycles, abdominal temperature (temperature calculated using an existing algorithm built at Murata Manufacturing Co., Ltd. based on the temperature inside the clothes and the temperature inside the clothing: hereinafter referred to as the abdominal temperature) and the temperature in the mouth were collected in parallel for three cycles, and the correlation between each variable and the point of change between the two phases were evaluated by statistical analysis. In addition, the physical and mental situation is collected in the form of a daily questionnaire. Using these data, we will construct a menstrual cycle prediction model.
| 2024 | Year | 05 | Month | 13 | Day |
| 2024 | Year | 11 | Month | 13 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000062112