Unique ID issued by UMIN | UMIN000032562 |
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Receipt number | R000037138 |
Scientific Title | Motion analysis for standardization of therapeutic sit-to-stand assistance for acute stroke patients |
Date of disclosure of the study information | 2018/05/12 |
Last modified on | 2018/05/12 13:33:15 |
Motion analysis for standardization of therapeutic sit-to-stand assistance for acute stroke patients
Motion analysis for standardization of therapeutic sit-to-stand assistance for acute stroke patients
Motion analysis for standardization of therapeutic sit-to-stand assistance for acute stroke patients
Motion analysis for standardization of therapeutic sit-to-stand assistance for acute stroke patients
Japan |
stroke
Neurosurgery | Rehabilitation medicine |
Others
NO
To clarify the relationship between the muscle activity pattern and the ability to output the power at each joint in sit-to-stand task in an acute stroke patient.
Others
We investigate the relationship between the muscle activity pattern and the ability to output the power at each joint in sit-to-stand task in an acute stroke patient. This makes it possible to clarify which joint force the motor paralysis exerts in the sit-to-stand task (or it is weaker compared to a healthy subject), so it can be the basic data for standardization of the sit-to-stand motion assistance.
Confirmatory
Pragmatic
Not applicable
Surface electromyogram data at 1 week to 2 weeks after onset
Joint angle data, Fugl-mayer-assesment score at 1 week to 2 weeks after onset
Observational
20 | years-old | <= |
100 | years-old | >= |
Male and Female
(1) first ischemic/hemorrhagic stroke; (2) unilateral weakness; (3) <2 weeks post-stroke.
(1) other neurological or orthopedic conditions; (2) major cognitive deficits as assessed by standard tests; (3) sitting balance or trunk stability deficits
15
1st name | |
Middle name | |
Last name | Hiroki Hanawa |
Graduate School of Saitama Prefectural University
Graduate Course of Health and Social Services
820 San-Nomiya, Koshigaya-shi, Saitama, 343-8540, Japan
048-971-0500
1991005n@spu.ac.jp
1st name | |
Middle name | |
Last name | Hiroki Hanawa |
Graduate School of Saitama Prefectural University
Graduate Course of Health and Social Services
820 San-Nomiya, Koshigaya-shi, Saitama, 343-8540, Japan
048-971-0500
1991005n@spu.ac.jp
Graduate School of Saitama Prefectural University
Japan Society for the Promotion of Science
Other
NO
東埼玉総合病院(埼玉県)
2018 | Year | 05 | Month | 12 | Day |
Unpublished
Enrolling by invitation
2018 | Year | 02 | Month | 01 | Day |
2018 | Year | 03 | Month | 01 | Day |
[Overview]
The effectiveness of muscle synergy analysis as a means to quantify motor paralysis has recently been established and adopted in this study. Also, in motion analysis, it is important not only to follow joint motion but also to what extent the ability of each joint contributes to the overall force output. For this reason, we calculate complex inverse dynamics calculation from joint angle measurement. Furthermore, large devices such as three-dimensional motion analysis devices have poor practicality in the clinical setting. Thus we collect many patient data from small devices such as wireless surface electromyogrammeters and accelerometers.
[Target audience]
Acute stroke patients (within 2 weeks after onset)
[Used equipment]
Wireless surface electromyography (Oisaka Electronics Co., Ltd.)
Small accelerometer (Oisaka Electronics Co., Ltd.)
Compact force sensor (Leptrino Co., Ltd.)
force sensor (Unimec Co., Ltd.)
[Experimental issue]
Subjects perform sit-to-stand task from the wheelchair with a cue. For the sit-to-stand, subjects use a cane to assist the balance.
[Analytical method]
We extract the data during the sit-to-stand task of measured joint angle, floor reaction force, electromyogram data of whole body and use it for subsequent analysis. From the joint angle, the force exerted by each joint is calculated from the inverse dynamics calculation. Extract abnormal muscle synergy by applying nonnegative matrix factorization, which is one of pattern recognition methods, to EMG data.
[Statistical analysis]
Apply hierarchical cluster analysis to all subject data with the ratio of each joint force to the rotational force around the whole body center of gravity as an index. Regarding the classification by hierarchical cluster analysis, regression analysis is carried out to how much quantified motor paralysis contributes.
2018 | Year | 05 | Month | 12 | Day |
2018 | Year | 05 | Month | 12 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000037138
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