3 Citations (Scopus)

Abstract

Nowadays, Stroke has been the second most cause of deaths in the world after Ischaemic heart disease. Rehabilitation of stroke patients after the attack is still the most effective way of restoring the patients to normal. However, most of the rehabilitation methods are done manually. In most of stroke rehabilitation programs, the evaluation procedures are still done using visual observation by clinicians. Considering that background, this study is the preliminary stage in preparing stroke rehabilitation monitoring by using EEG. Since EEG has been used widely for studying the human motion and human control especially in the neural system, applying EEG for stroke rehabilitation monitoring and evaluation would be a great solution because the assessment of the rehabilitation progress can be quantified in a better way. Eleven healthy subjects performing specific motion tasks: baseline (no motion), finger motion, grasping and elbow-flexion, the EEG is then recorded and extracted. Statistical parameters were calculated to get the EEG pattern such as mean and mean absolute value (MAV). From the data analysis, we found that during motion, the value of MAV was tended to decrease in low beta bands. We also found that the maximum amplitude of relaxing or no motion (MAR) is higher than the maximum amplitude of the movement (MAM) in the low beta band both C3 and C4 channel.

Original languageEnglish
Title of host publicationProceedings - 2019 International Seminar on Intelligent Technology and Its Application, ISITIA 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages331-336
Number of pages6
ISBN (Electronic)9781728137490
DOIs
Publication statusPublished - Aug 2019
Event2019 International Seminar on Intelligent Technology and Its Application, ISITIA 2019 - Surabaya, Indonesia
Duration: 28 Aug 201929 Aug 2019

Publication series

NameProceedings - 2019 International Seminar on Intelligent Technology and Its Application, ISITIA 2019

Conference

Conference2019 International Seminar on Intelligent Technology and Its Application, ISITIA 2019
Country/TerritoryIndonesia
CitySurabaya
Period28/08/1929/08/19

Keywords

  • EEG motor task
  • EEG of healthy subjects
  • EEG pattern
  • EEG time domain analysis
  • stroke rehabilitation

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