JRCT ID: jRCT1030250575
Registered date:17/12/2025
Testing of a Wearable Upper-Arm Assist Robot
Basic Information
| Recruitment status | Pending |
|---|---|
| Health condition(s) or Problem(s) studied | None |
| Date of first enrollment | 17/12/2025 |
| Target sample size | 10 |
| Countries of recruitment | |
| Study type | Interventional |
| Intervention(s) | First, the robot is attached to the upper arm of the wearer. After the robot is attached, the operator grasps the wearer's upper arm and performs one to three reciprocating movements within the range of motion of the shoulder joint and scapula or part thereof (teaching mode). At this time, the robot records the data of the rehabilitation movement in the form of motor angles. The robot then moves the subject's upper arm without operator assistance while the device is attached to the upper arm in a manner that reproduces the rehabilitation movements recorded by the robot (playback mode). The recorded and actual motor angle data in the two modes are compared to evaluate the reproducibility and accuracy of the rehabilitation movements in the playback mode. |
Outcome(s)
| Primary Outcome | Agreement of subject's shoulder motion data between teaching mode with rehabilitation assistant and playback mode without rehabilitation assistant in simulated rehabilitation |
|---|---|
| Secondary Outcome | None |
Key inclusion & exclusion criteria
| Age minimum | >= 20age old |
|---|---|
| Age maximum | <= 35age old |
| Gender | Male |
| Include criteria | 1. Students who apply to the internal call for applications in the University of Yamanashi after November 2025 2. Students who are confirmed to be able to wear the wearable assist robot by the researchers 3. Gender: male; Age: 20-35; Height: 165-175cm; BMI: up to 24 4. Students who join "CO-OP Student Comprehensive Mutual Aid" |
| Exclude criteria | 1. Diseases of the upper arm or injuries to the shoulder 2. Adults who do not have sufficient judgment (difficulty in communication, inability to feel tightness, etc.) |
Related Information
| Primary Sponsor | Sun Xiao |
|---|---|
| Secondary Sponsor | |
| Source(s) of Monetary Support | |
| Secondary ID(s) |
Contact
| Public contact | |
| Name | Xiao Sun |
| Address | Takeda 4-3-11, Kofu, Yamanashi Yamanashi Japan 400-8511 |
| Telephone | +81-55-220-8451 |
| xsun@yamanashi.ac.jp | |
| Affiliation | University of Yamanashi |
| Scientific contact | |
| Name | Xiao Sun |
| Address | Takeda 4-3-11, Kofu, Yamanashi Yamanashi Japan 400-8511 |
| Telephone | +81-55-220-8451 |
| xsun@yamanashi.ac.jp | |
| Affiliation | University of Yamanashi |