Delayed Onset Muscle Soreness Analysis based on Discrete Wavelet Transform of EMG Signals on Leg Workout

Dhiannisa Shabrina Yuwono*, Rachmad Setiawan, Nada Fitrieyatul Hikmah

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Physical activity refers to any bodily movement that necessitates the use of energy by the muscles. Engaging in regular physical activity enhances overall well-being and yields substantial health advantages. Subsequently, delayed muscle soreness (DOMS) may result from excessive fatigue resulting from excessive physical activity or exercise. DOMS is the result of transient muscular injury and inflammation, often induced by eccentric exercise. Multiple studies have been conducted to identify DOMS, but they have relied solely on subjective measures such as questionnaires. Therefore, there is a necessity for early assessment of DOMS prevention. To resolve this issue, researchers proposed a multiresolution analysis be integrated with an electromyography sensor to conduct a system analysis. This study employs Discrete Wavelet Transform (DWT) analysis, utilizing decomposition levels ranging from 1 to 5, to assess fatigue conditions. In order to evaluate tiredness levels, this study focused on four feature extractions - mean power amplitude (P), standard deviation (SD), root mean square (RMS), and average. The extraction of these features is crucial for obtaining the correlation coefficient (CC) and slope parameters used to estimate DOMS. The researchers discovered that the most optimal tilt outcomes were attained within the D2 frequency range, which spans from 125 Hz to 250 Hz.

Original languageEnglish
Title of host publication2024 International Seminar on Intelligent Technology and Its Applications
Subtitle of host publicationCollaborative Innovation: A Bridging from Academia to Industry towards Sustainable Strategic Partnership, ISITIA 2024 - Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages379-384
Number of pages6
Edition2024
ISBN (Electronic)9798350378573
DOIs
Publication statusPublished - 2024
Event25th International Seminar on Intelligent Technology and Its Applications, ISITIA 2024 - Hybrid, Mataram, Indonesia
Duration: 10 Jul 202412 Jul 2024

Conference

Conference25th International Seminar on Intelligent Technology and Its Applications, ISITIA 2024
Country/TerritoryIndonesia
CityHybrid, Mataram
Period10/07/2412/07/24

Keywords

  • Delayed Onset Muscle Soreness
  • Discrete Wavelet Transform
  • electromyograph sensor
  • leg workout

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