Physical Workload Identify in Chest Compression Position Using Surface Electromyogram
NCT ID: NCT02088879
Last Updated: 2014-04-02
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
36 participants
INTERVENTIONAL
2014-03-31
2014-04-30
Brief Summary
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The investigators hypothesized that the frequency parameters from surface electromyogram from each muscle during chest compression may reflect the muscle fatigue of the rescuers.
Then investigators can identify which of the body are mainly used and get tired by continuous chest compression using surface electromyogram.
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
CROSSOVER
BASIC_SCIENCE
SINGLE
Study Groups
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Group1
* first : chest compression with kneeling position
* second : chst compression with standing position
chest compression with kneeling position
chest compression with standing position
Group2
* first : chest compression with standing position
* second : chst compression with kneeling position
chest compression with kneeling position
chest compression with standing position
Interventions
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chest compression with kneeling position
chest compression with standing position
Eligibility Criteria
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Inclusion Criteria
* healthy, experienced health-care providers
Exclusion Criteria
* heart disease
18 Years
60 Years
MALE
Yes
Sponsors
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Hanyang University
OTHER
Responsible Party
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Jaehoon Oh
Department of Emergency Medicine
Principal Investigators
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Wonhee Kim, M.D.
Role: PRINCIPAL_INVESTIGATOR
Department of emergency medicine, college of medicine, Hanyang university
Locations
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Hanyang University Seoul Hospital
Seoul, , South Korea
Countries
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References
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Cho Y, Lee Y, Lim TH, Chee Y, Oh J, Kim W, Jang SH, Kim SM. What muscles need to be trained for high-quality chest compression? Australas Emerg Care. 2020 Dec;23(4):272-280. doi: 10.1016/j.auec.2020.06.002. Epub 2020 Jul 7.
Other Identifiers
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EMG CPR-freq1
Identifier Type: -
Identifier Source: org_study_id
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