Unique ID issued by UMIN | UMIN000037900 |
---|---|
Receipt number | R000043202 |
Scientific Title | Study to clarify the relationship between joint conditions and sensing data acquired by smartphones and wearable devices |
Date of disclosure of the study information | 2019/09/04 |
Last modified on | 2020/06/22 06:50:06 |
Study to clarify the relationship between joint conditions and sensing data acquired by smartphones and wearable devices
Study to clarify the relationship between joint conditions and sensing data acquired by smartphones and wearable devices
Study to clarify the relationship between joint conditions and sensing data acquired by smartphones and wearable devices
Study to clarify the relationship between joint conditions and sensing data acquired by smartphones and wearable devices
Japan |
joint pain and/or swelling
Clinical immunology | Orthopedics |
Others
NO
The objectives of the study are to clarify the relationship between joint conditions and sensing data obtained by smartphones and wearable devices, and to develop machine learning models to estimate the degree of joint conditions from the sensing data.
Safety
The relationship between joint conditions and sensing data obtained by smartphones and wearable devices
Observational
20 | years-old | <= |
Not applicable |
Male and Female
Patients at age 20 or over with joint pain and/or swelling who visit Keio University Hospital or Tokyo Medical Center
-When the patient or his / her family cannot operate the smartphone
-A patient who suffers from a disease that may affect the acquisition of biometric information due to any physical disease. For example, those with diseases that affect measurement with wearable devices (people with limb paralysis or involuntary movements, etc.)
-Other patients who are deemed inappropriate by the research director
-Those who do not agree to participate
200
1st name | Keisuke |
Middle name | |
Last name | Izumi |
National Tokyo Medical Center
Division of Connective Tissue Diseases
152-8902
2-5-1 Higashigaoka, Meguro-ku, Tokyo
03-3411-0111
visualizepain@gmail.com
1st name | Keisuke |
Middle name | |
Last name | Izumi |
National Tokyo Medical Center
Division of Connective Tissue Diseases
152-8902
2-5-1 Higashigaoka, Meguro-ku, Tokyo
03-3411-0111
visualizepain@gmail.com
National Tokyo Medical Center
National Tokyo Medical Center, Keio University School of Medicine, etc.
Self funding
The Clinical and Translational Research Center
2-5-1 Higashigaoka, Meguro-ku, Tokyo
03-3411-0111
med-rinri-jimu@mail.hosp.go.jp
NO
東京医療センター(東京都)
慶應義塾大学病院(東京都)
2019 | Year | 09 | Month | 04 | Day |
Unpublished
Enrolling by invitation
2019 | Year | 09 | Month | 02 | Day |
2019 | Year | 10 | Month | 21 | Day |
2020 | Year | 05 | Month | 11 | Day |
2025 | Year | 05 | Month | 31 | Day |
A)Collection of background factors
Obtain the following information from the electronic medical record:
-Sex, age, disease with joint symptoms, disease duration, symptoms and physical examination information, test data related to the disease, X-ray images, presence of other diseases affecting physical activity and its disease activity, smoking history, drugs used, etc.
B)Sensing data collection by sensing devices
Researchers lend smartphones and wearable devices and patients will wear them for a maximum of 7 months. The sensing devices are connected to the researcher's PC with a USB cable at an outpatient or ward at regular intervals.
-Smartphones
Apple's iPhones are used to obtain step count data and barometric pressure data recorded by default in the iPhone.
-Wearable devices
Either of Fitbit devices or Apple Watch is used to acquire acceleration data such as body movements and sensing data including heart rates.
C)Recording joint conditions
The subjective symptoms of joints, self-evaluation of physical function, and pain / swelling records of joints are answered with the app and recorded in the smartphone.
In addition, when patients see a doctor, patients can record general evaluation (G-VAS), tender joints, swollen joints, etc. by physicians in the app of the smartphone.
2019 | Year | 09 | Month | 02 | Day |
2020 | Year | 06 | Month | 22 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000043202