Real-Time Delayed Onset Muscle Soreness (DOMS) Detection in High Intensity Interval Training Using Artificial Neural Network

Rachmad Setiawan, Nada Fitrieyatul Hikmah, Florence Fedora Agustina

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

2 Citations (Scopus)

Abstract

Athletes often employ eccentric exercise to enhance performance despite delayed onset muscle soreness (DOMS), which is a typical side effect of the activity. DOMS is a delayed onset symptom of muscular soreness and pain after an intense workout. Microscopic muscle injury causes DOMS as a secondary effect of the mending process. Muscle and cell membranes are damaged during and after intense exercise, resulting in an inflammatory reaction. DOMS often occurs in individuals who have never performed high-intensity interval training for an extended period of time. This research built a detecting system that combines an EMG signal sensor with Mikromedia 4 for STM32F4 Capacitive. STM32F407ZG microcontroller chipset evaluated and categorized the amplitude and frequency values of electromyogram data effectively retrieved after high-intensity interval training. Using classification by Multilayer Perceptron Neural Network (MLPNN), the input from four EMG feature values was effectively retrieved. As training data, we utilized Root Mean Square (RMS), Mean Power Frequency (MPF), and Energy of EMG signal. The microcontroller has the MLPNN algorithm embedded upon it. The DOMS detection accuracy is 83.76% with a model accuracy of 82.17%. It is hoped that in the future, this research can add solutions to the rehabilitation of athletes who are experiencing DOMS and can be converted into a wearable device so that athletes can use it anytime and anywhere.

Original languageEnglish
Title of host publication2022 International Seminar on Intelligent Technology and Its Applications
Subtitle of host publicationAdvanced Innovations of Electrical Systems for Humanity, ISITIA 2022 - Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages24-29
Number of pages6
ISBN (Electronic)9781665460811
DOIs
Publication statusPublished - 2022
Event23rd International Seminar on Intelligent Technology and Its Applications, ISITIA 2022 - Virtual, Surabaya, Indonesia
Duration: 20 Jul 202221 Jul 2022

Publication series

Name2022 International Seminar on Intelligent Technology and Its Applications: Advanced Innovations of Electrical Systems for Humanity, ISITIA 2022 - Proceeding

Conference

Conference23rd International Seminar on Intelligent Technology and Its Applications, ISITIA 2022
Country/TerritoryIndonesia
CityVirtual, Surabaya
Period20/07/2221/07/22

Keywords

  • Delayed Onset Muscle Soreness
  • Electromyography Sensor
  • High Intensity Interval Training
  • Multilayer Perceptron Neural Network (MLPNN)
  • Quadriceps

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