| Recruitment status | Enrolling by invitation |
| Unique ID issued by UMIN | UMIN000032562 |
| Receipt No. | R000037138 |
| Official scientific title of the study | 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 (Ver. 1) |
| Basic information | ||
| Official scientific title of the study | Motion analysis for standardization of therapeutic sit-to-stand assistance for acute stroke patients | |
| Title of the study (Brief title) | Motion analysis for standardization of therapeutic sit-to-stand assistance for acute stroke patients | |
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| Condition | |||
| Condition | stroke | ||
| Classification by specialty |
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| Classification by malignancy | Others | ||
| Genomic information | NO | ||
| Objectives | |
| Narrative objectives1 | 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. |
| Basic objectives2 | Others |
| Basic objectives -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. |
| Trial characteristics_1 | Confirmatory |
| Trial characteristics_2 | Pragmatic |
| Developmental phase | Not applicable |
| Assessment | |
| Primary outcomes | Surface electromyogram data at 1 week to 2 weeks after onset |
| Key secondary outcomes | Joint angle data, Fugl-mayer-assesment score at 1 week to 2 weeks after onset |
| Base | |
| Study type | Observational |
| Study design | |
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| Randomization | |
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| Blinding | |
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| Stratification | |
| Dynamic allocation | |
| Institution consideration | |
| Blocking | |
| Concealment | |
| Intervention | |
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| Eligibility | ||||
| Age-lower limit |
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| Gender | Male and Female | |||
| Key inclusion criteria | (1) first ischemic/hemorrhagic stroke; (2) unilateral weakness; (3) <2 weeks post-stroke. | |||
| Key exclusion criteria | (1) other neurological or orthopedic conditions; (2) major cognitive deficits as assessed by standard tests; (3) sitting balance or trunk stability deficits | |||
| Target sample size | 15 | |||
| Research contact person | |
| Name of lead principal investigator | Hiroki Hanawa |
| Organization | Graduate School of Saitama Prefectural University |
| Division name | Graduate Course of Health and Social Services |
| Address | 820 San-Nomiya, Koshigaya-shi, Saitama, 343-8540, Japan |
| TEL | 048-971-0500 |
| 1991005n@spu.ac.jp | |
| Public contact | |
| Name of contact person | Hiroki Hanawa |
| Organization | Graduate School of Saitama Prefectural University |
| Division name | Graduate Course of Health and Social Services |
| Address | 820 San-Nomiya, Koshigaya-shi, Saitama, 343-8540, Japan |
| TEL | 048-971-0500 |
| Homepage URL | |
| 1991005n@spu.ac.jp | |
| Sponsor | |
| Institute | Graduate School of Saitama Prefectural University |
| Institute | |
| Department | |
| Funding Source | |
| Organization | Japan Society for the Promotion of Science |
| Organization | |
| Division | |
| Category of Funding Organization | Other |
| Nationality of Funding Organization | |
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| 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 | 東埼玉総合病院(埼玉県) |
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| Date of disclosure of the study information |
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| Recruitment status | Enrolling by invitation | ||||||
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| Related information | |
| URL releasing protocol | |
| Publication of results | Unpublished |
| URL releasing results | |
| Results | |
| Other related information | [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. |
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| Link to view the page | |
| URL(English) | https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000037138 |