DETECTION OF MUSCLE STRENGTH SIGNAL WITH PROGRESSIVE MUSCLE RELAXATION EXERCISE BASED ON ARDUINO UNO ON THE ELDERLY IN INDONESIA

dc.contributor.authorElfira, Eqlima
dc.contributor.authorGirsang, Bina Melvia
dc.date.accessioned2021-11-01T04:07:42Z
dc.date.available2021-11-01T04:07:42Z
dc.date.issued2020-11-04
dc.description.abstractTo identify the muscle strength detection signal with progressive muscle relaxation based on Arduino Uno on the elderly. Method: An experimental method with one intervention group on 39 respondents over 45 years of age was used. Furthermore, data analysis was carried out using demographic data and observation sheets based on Arduino UNO connected to a smart phone. Result: The results showed that 21 male respondents (53.8%) and 18 female respondents (46.2%) received Arduino UNO-based progressive muscle relaxation training intervention with 30 treatments every day. This exercise was carried out routinely meanwhile, productive activities were given to 21 elderly respondents (53.8%) and unproductive activities to 18 respondents (46.2%). Conclusion: Detection of muscle strength with progressive muscle relaxation based on Arduino UNO is identifiable with a sensor value of 5.0/1023.0 volts.en_US
dc.description.sponsorshipCampus UNRI Gobah Jl. Pattimura No.9, Gedung G, Phone. +62 761 31162, Pekanbaru, Indonesiaen_US
dc.identifier.isbn978-6025-309922
dc.identifier.otherwahyu sari yeni
dc.identifier.urihttps://repository.unri.ac.id/handle/123456789/10318
dc.language.isoenen_US
dc.publisherFACULTY OF NURSING UNIVERSITAS RIAUen_US
dc.subjectDetectionen_US
dc.subjectMuscle Strengthen_US
dc.subjectProgressive Muscle Relaxationen_US
dc.subjectExercisesen_US
dc.subjectElderlyen_US
dc.subjectArduino UNOen_US
dc.titleDETECTION OF MUSCLE STRENGTH SIGNAL WITH PROGRESSIVE MUSCLE RELAXATION EXERCISE BASED ON ARDUINO UNO ON THE ELDERLY IN INDONESIAen_US
dc.typePresentationen_US

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
10 Oral Presentation 5 Prosiding RINC 2020_compressed.pdf
Size:
162.71 KB
Format:
Unknown data format
Description:
artikel
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: