UMIN-CTR Clinical Trial
| Unique ID issued by UMIN | UMIN000054635 |
|---|---|
| Receipt number | R000062428 |
| Scientific Title | Construction of an AI Platform for Estimating ADL (Activities of Daily Living) Risk |
| Date of disclosure of the study information | 2024/07/15 |
| Last modified on | 2025/08/08 16:25:02 |
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Basic information
Public title
Construction of an AI Platform for Estimating ADL (Activities of Daily Living) Risk
Acronym
Construction of an AI Platform for Estimating ADL Risk
Scientific Title
Construction of an AI Platform for Estimating ADL (Activities of Daily Living) Risk
Scientific Title:Acronym
Construction of an AI Platform for Estimating ADL (Activities of Daily Living) Risk
Region
| Japan |
Condition
Condition
Healthy adults
Classification by specialty
| Adult |
Classification by malignancy
Others
Genomic information
NO
Objectives
Narrative objectives1
Constructing an objective and scientific evaluation platform by applying proprietary markerless AI analysis to ADL, considering intra- and inter-individual variability.
Basic objectives2
Efficacy
Basic objectives -Others
Trial characteristics_1
Exploratory
Trial characteristics_2
Pragmatic
Developmental phase
Assessment
Primary outcomes
During the performance of each ADL task,
1. Range of motion
2. Muscle strength
3. Joint acceleration
4. Completion time
Key secondary outcomes
Base
Study type
Observational
Study design
Basic design
Randomization
Randomization unit
Blinding
Control
Stratification
Dynamic allocation
Institution consideration
Blocking
Concealment
Intervention
No. of arms
Purpose of intervention
Type of intervention
Interventions/Control_1
Interventions/Control_2
Interventions/Control_3
Interventions/Control_4
Interventions/Control_5
Interventions/Control_6
Interventions/Control_7
Interventions/Control_8
Interventions/Control_9
Interventions/Control_10
Eligibility
Age-lower limit
| 20 | years-old | <= |
Age-upper limit
| 80 | years-old | > |
Gender
Male and Female
Key inclusion criteria
1. Healthy adults
2. A person who signed informed consent
Key exclusion criteria
Participants who have following conditions were excluded from the study:
1. joint pain with and without movement
2. Musculoskeletal symptoms that impede movement
3. History of developmental and psychiatric disorders
4. History of head trauma or organic brain diseases with disturbance of consciousness
5. Pregnant or may be pregnant
Target sample size
180
Research contact person
Name of lead principal investigator
| 1st name | Daisuke |
| Middle name | |
| Last name | Sawamura |
Organization
Hokkaido University
Division name
Rehabilitation Science
Zip code
060-0812
Address
Kita12-jo nishi5-chome Kita-ku Sapporo, Hokkaido, Japan
TEL
0117063387
D.sawamura@pop.med.hokudai.ac.jp
Public contact
Name of contact person
| 1st name | Daisuke |
| Middle name | |
| Last name | Sawamura |
Organization
Faculty of Health Sciences, Hokkaido University
Division name
Rehabilitation Science
Zip code
060-0812
Address
Kita12-jo nishi5-chome Kita-ku Sapporo, Hokkaido, Japan
TEL
0117063387
Homepage URL
D.sawamura@pop.med.hokudai.ac.jp
Sponsor or person
Institute
Hokkaido University
Institute
Department
Personal name
Funding Source
Organization
Hokkaido University
Organization
Division
Category of Funding Organization
Other
Nationality of Funding Organization
Japan
Other related organizations
Co-sponsor
Name of secondary funder(s)
IRB Contact (For public release)
Organization
Ethical review board of Faculty of Health Sciences, Hokkaido University
Address
Kita12-jo nishi5-chome Kita-ku Sapporo, Hokkaido, Japan
Tel
0117063316
shomu@hs.hokudai.ac.jp
Secondary IDs
Secondary IDs
NO
Study ID_1
Org. issuing International ID_1
Study ID_2
Org. issuing International ID_2
IND to MHLW
Institutions
Institutions
Other administrative information
Date of disclosure of the study information
| 2024 | Year | 07 | Month | 15 | Day |
Related information
URL releasing protocol
Publication of results
Unpublished
Result
URL related to results and publications
Number of participants that the trial has enrolled
Results
Results date posted
Results Delayed
Results Delay Reason
Date of the first journal publication of results
Baseline Characteristics
Participant flow
Adverse events
Outcome measures
Plan to share IPD
IPD sharing Plan description
Progress
Recruitment status
Enrolling by invitation
Date of protocol fixation
| 2024 | Year | 08 | Month | 10 | Day |
Date of IRB
| 2024 | Year | 07 | Month | 03 | Day |
Anticipated trial start date
| 2024 | Year | 09 | Month | 15 | Day |
Last follow-up date
| 2026 | Year | 03 | Month | 31 | Day |
Date of closure to data entry
Date trial data considered complete
Date analysis concluded
Other
Other related information
Constructing ADL Models Using Markerless AI Motion Analysis: Capturing Actual ADL from Three Directions (Front, Left, and Right). Extracting Skeletal Information by Digitizing Key Points (such as Body Orientation and Hand Position) from Collected Video Data. Automatically Detected Skeletal Information Is Transformed into 3D Coordinate Data, Enabling Calculation of Joint Angles over Time to Build an AI Motion Analysis Platform.
Management information
Registered date
| 2024 | Year | 06 | Month | 12 | Day |
Last modified on
| 2025 | Year | 08 | Month | 08 | Day |
Link to view the page
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000062428
