- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06574737
Use of Surface Electromyography as a Tools to Predict Upper Extremity Recovery Function After Stroke
Hypothesis :
Based on the framework and premises above, the hypothesis is formulated as follows: H0 : surface electromyography parameters cannot predicts upper extremity motor function recovery in stroke patients H1: surface electromyography parameters can predicts upper extremity motor function recovery in stroke patients
Study Overview
Status
Detailed Description
Study design and setting This study is an analytic quantitative observational study, to analyse the quantification of Manual Muscle Test score, Fugl Mayer Assessment-Upper Extremity score and electrical signals of the anterior deltoid, biceps, triceps, wrist flexors and wrist extensors muscles based on contractions, length of contraction and amplitude parameters in patients with acute phase stroke. This study performed at HasanSadikin Hospital between February 2024 - July 2024. Study participants Potential participants will be recruited by the main researcher
Inclusion criteria:
- Patients who are hospitalized with upper extremity weakness due to stroke on the same side which confirmed with computed tomography scan or structural magnetic resonance imaging, in the acute phase
- Men and women aged more than 18 years old
- Willing to participate
Exclusion criteria:
- Cognitive impairment (MoCA-Ina score less than 26)
- Impaired consciousness (GCS score less than 15)
- Unstable medical conditions at time of hospitalization
- Patients with pacemaker
- Having other injury or dysfunction in the impaired side of upper extremity that caused restrictions on the range of joint movement and muscle weakness, such as fractures, periarthritis, or moderate-severe pain
- Diagnosis of other neurological disease or disorders in addition to stroke (e.g., traumatic brain injury, neuropathy or radiculopathy)
- Get treated in isolation room
- Hypersensitivity to gel electrodes
Drop out criteria:
- Unable to do 2 or more follow up session
- Withdrawn by themselves
Confounding factor:
- Stroke location
- Stroke size
- Spasticity
- Rehabilitation program
- Compliance rehabilitation
- Stroke risk factor
Sampling Technique The method of sampling based on consecutive samplings, that is, all stroke patients who meet the inclusion and exclusion criteria during the duration of the study.
Based on the formula above, the minimum sample size for this research is adequate, so the minimum sample size is 30 samples.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Vitriana Biben, Doctoral
- Phone Number: 022-7302-931
- Email: vitriana@unpad.ac.id
Study Contact Backup
- Name: Berthy Al Mungiza, Bachelor
- Phone Number: +62 857-4752-0920
- Email: berthy.almungiza@gmail.com
Study Locations
-
-
West Java
-
Bandung, West Java, Indonesia, 40161
- Recruiting
- Berthy Al Mungiza
-
Contact:
- Berthy Al Mungiza, Bachelor
- Phone Number: +62 857-4752-0920
- Email: berthy.almungiza@gmail.com
-
Contact:
- Vitriana Biben, Doctoral
- Phone Number: +62 815-6262-733
- Email: vitriana@unpad.ac.id
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Patients who are hospitalized with upper extremity weakness due to stroke on the same side which confirmed with computed tomography (CT) scan or structural magnetic resonance imaging (MRI), in the acute phase
- Men and women aged more than 18 years old
- Willing to participate
Exclusion Criteria:
- Cognitive impairment (MoCA-Ina score less than 26)
- Impaired consciousness (GCS score less than 15)
- Unstable medical conditions at time of hospitalization
- Patients with pacemaker
- Having other injury or dysfunction in the impaired side of upper extremity that caused restrictions on the range of joint movement and muscle weakness, such as fractures, periarthritis, or moderate-severe pain
- Diagnosis of other neurological disease or disorders in addition to stroke (e.g., traumatic brain injury, neuropathy or radiculopathy)
- Get treated in isolation room
- Hypersensitivity to gel electrodes
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Electrical activity deltoid, biceps, triceps, wrist flexor, wrist extensor muscle
Time Frame: 3 days of stroke onset, 5 days of stroke onset, 1 months, 2 months and 3 months after stroke onset
|
|
3 days of stroke onset, 5 days of stroke onset, 1 months, 2 months and 3 months after stroke onset
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Manual Muscle Testing score
Time Frame: 3 days of stroke onset, 5 days of stroke onset, 1 months, 2 months and 3 months after stroke onset
|
5: Normal 4: Good 3: Fair 2: Poor 1: Trace 0: Zero (5 : higher end of strength ability, 0 = low-end ability of strength ability) (the more, the better outcome) |
3 days of stroke onset, 5 days of stroke onset, 1 months, 2 months and 3 months after stroke onset
|
|
Fugl Mayer Assessment-Upper Extremity score
Time Frame: 3 days of stroke onset, 5 days of stroke onset, 1 months, 2 months and 3 months after stroke onset
|
≤25 : severe 26-45 : moderate 46-66 : mild (66 : maximum score for upper extremity score = normal, the more the better outcome) |
3 days of stroke onset, 5 days of stroke onset, 1 months, 2 months and 3 months after stroke onset
|
Collaborators and Investigators
Sponsor
Publications and helpful links
General Publications
- Fan J, Li X, Yu X, Liu Z, Jiang Y, Fang Y, Zong M, Suo C, Man Q, Xiong L. Global Burden, Risk Factor Analysis, and Prediction Study of Ischemic Stroke, 1990-2030. Neurology. 2023 Jul 11;101(2):e137-e150. doi: 10.1212/WNL.0000000000207387. Epub 2023 May 17.
- Venketasubramanian N, Yudiarto FL, Tugasworo D. Stroke Burden and Stroke Services in Indonesia. Cerebrovasc Dis Extra. 2022;12(1):53-57. doi: 10.1159/000524161. Epub 2022 Mar 21.
- Shelton FN, Reding MJ. Effect of lesion location on upper limb motor recovery after stroke. Stroke. 2001 Jan;32(1):107-12. doi: 10.1161/01.str.32.1.107.
- Lawrence ES, Coshall C, Dundas R, Stewart J, Rudd AG, Howard R, Wolfe CD. Estimates of the prevalence of acute stroke impairments and disability in a multiethnic population. Stroke. 2001 Jun;32(6):1279-84. doi: 10.1161/01.str.32.6.1279.
- Feldner HA, Papazian C, Peters KM, Creutzfeldt CJ, Steele KM. Clinical Use of Surface Electromyography to Track Acute Upper Extremity Muscle Recovery after Stroke: A Descriptive Case Study of a Single Patient. Appl Syst Innov. 2021 Jun;4(2):32. doi: 10.3390/asi4020032. Epub 2021 May 10.
- Steele KM, Papazian C, Feldner HA. Muscle Activity After Stroke: Perspectives on Deploying Surface Electromyography in Acute Care. Front Neurol. 2020 Sep 23;11:576757. doi: 10.3389/fneur.2020.576757. eCollection 2020.
- Alt Murphy M, Al-Shallawi A, Sunnerhagen KS, Pandyan A. Early prediction of upper limb functioning after stroke using clinical bedside assessments: a prospective longitudinal study. Sci Rep. 2022 Dec 21;12(1):22053. doi: 10.1038/s41598-022-26585-1.
- Papazian C, Baicoianu NA, Peters KM, Feldner HA, Steele KM. Electromyography Recordings Detect Muscle Activity Before Observable Contractions in Acute Stroke Care. Arch Rehabil Res Clin Transl. 2021 Jun 5;3(3):100136. doi: 10.1016/j.arrct.2021.100136. eCollection 2021 Sep.
- Stinear CM, Smith MC, Byblow WD. Prediction Tools for Stroke Rehabilitation. Stroke. 2019 Nov;50(11):3314-3322. doi: 10.1161/STROKEAHA.119.025696. Epub 2019 Oct 15. No abstract available.
- Manzur-Valdivia H, Alvarez-Ruf J. Surface Electromyography in Clinical Practice. A Perspective From a Developing Country. Front Neurol. 2020 Oct 15;11:578829. doi: 10.3389/fneur.2020.578829. eCollection 2020.
- Ueda S, Aoki H, Yasuda Y, Nishiyama A, Hayashi Y, Honaga K, Tanuma A, Takakura T, Kurosu A, Hatori K, Hayashi A, Fujiwara T. The MMT of Elbow Flexion and the AFE Predict Impairment and Disability at 3 Weeks in Patients With Acute Stroke. Front Neurol. 2022 Mar 30;13:831800. doi: 10.3389/fneur.2022.831800. eCollection 2022.
- Lv W, Liu K, Zhou P, Huang F, Lu Z. Surface EMG analysis of weakness distribution in upper limb muscles post-stroke. Front Neurol. 2023 Apr 25;14:1135564. doi: 10.3389/fneur.2023.1135564. eCollection 2023.
- Raghavan P. Upper Limb Motor Impairment After Stroke. Phys Med Rehabil Clin N Am. 2015 Nov;26(4):599-610. doi: 10.1016/j.pmr.2015.06.008. Epub 2015 Aug 25.
- Li S. Stroke Recovery Is a Journey: Prediction and Potentials of Motor Recovery after a Stroke from a Practical Perspective. Life (Basel). 2023 Oct 15;13(10):2061. doi: 10.3390/life13102061.
- Grefkes C, Fink GR. Recovery from stroke: current concepts and future perspectives. Neurol Res Pract. 2020 Jun 16;2:17. doi: 10.1186/s42466-020-00060-6. eCollection 2020.
- Pregnolato G, Rimini D, Baldan F, Maistrello L, Salvalaggio S, Celadon N, Ariano P, Pirri CF, Turolla A. Clinical Features to Predict the Use of a sEMG Wearable Device (REMO(R)) for Hand Motor Training of Stroke Patients: A Cross-Sectional Cohort Study. Int J Environ Res Public Health. 2023 Mar 14;20(6):5082. doi: 10.3390/ijerph20065082.
- Salvalaggio S, Boccuni L, Turolla A. Patient's assessment and prediction of recovery after stroke: a roadmap for clinicians. Arch Physiother. 2023 Jun 19;13(1):13. doi: 10.1186/s40945-023-00167-4.
- Roman NA, Miclaus RS, Nicolau C, Sechel G. Customized Manual Muscle Testing for Post-Stroke Upper Extremity Assessment. Brain Sci. 2022 Mar 28;12(4):457. doi: 10.3390/brainsci12040457.
- Kostka J, Niwald M, Guligowska A, Kostka T, Miller E. Muscle power, contraction velocity and functional performance after stroke. Brain Behav. 2019 Apr;9(4):e01243. doi: 10.1002/brb3.1243. Epub 2019 Feb 28.
- Pandian S, Arya KN. Stroke-related motor outcome measures: do they quantify the neurophysiological aspects of upper extremity recovery? J Bodyw Mov Ther. 2014 Jul;18(3):412-23. doi: 10.1016/j.jbmt.2013.11.006. Epub 2013 Nov 9.
- McManus L, De Vito G, Lowery MM. Analysis and Biophysics of Surface EMG for Physiotherapists and Kinesiologists: Toward a Common Language With Rehabilitation Engineers. Front Neurol. 2020 Oct 15;11:576729. doi: 10.3389/fneur.2020.576729. eCollection 2020.
- Hogrel JY. Clinical applications of surface electromyography in neuromuscular disorders. Neurophysiol Clin. 2005 Jul;35(2-3):59-71. doi: 10.1016/j.neucli.2005.03.001.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- IKFR-202408.01
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
With access article/journal
With participants characteristics:
Sex Women Men Age Length of stay Stroke diagnosis Ischemic stroke Haemorrhagic stroke Stroke side Right hemisphere Left hemisphere Dominant Hand Right Left Stroke severity Minor stroke Moderate stroke Moderate to severe stroke Severe stroke Stroke risk factor Hypertension Diabetes Mellitus Heart disease Dyslipidemia Smoking Recurrent stroke Yes No
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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