@techreport{oai:ipsj.ixsq.nii.ac.jp:00217429, author = {Adhe, Rahmatullah Sugiharto and Shuhei, Tsuchida and I, Putu Alit Pawana and Tsutomu, Terada and Masahiko, Tsukamoto and Adhe, Rahmatullah Sugiharto and Shuhei, Tsuchida and I, Putu Alit Pawana and Tsutomu, Terada and Masahiko, Tsukamoto}, issue = {10}, month = {Mar}, note = {Regaining finger movement function is thought to be more challenging during rehabilitation because its muscle complexity. Thus, Fugl-Meyer Assessment (FMA) is employed by a doctor to evaluate manually the disability level of the finger movement. This will lead to subjectivity and risk of mistake during assessment. Thus, a system capable of predicting the disability level is required to aid the doctor in making more accurate judgement. This study aims to recognize the finger movement disability level based on Fugl-Meyer Assessment. The EMG recorded from 4 patients when they performed 7 movements based on FMA and extracting the time domain feature values. SVM and Random Forest were employed in classifying the disability level of each movement. SVM classifier could obtain better output in movement 4 which was 91.67% of accuracy and 0.78 of f1 score., Regaining finger movement function is thought to be more challenging during rehabilitation because its muscle complexity. Thus, Fugl-Meyer Assessment (FMA) is employed by a doctor to evaluate manually the disability level of the finger movement. This will lead to subjectivity and risk of mistake during assessment. Thus, a system capable of predicting the disability level is required to aid the doctor in making more accurate judgement. This study aims to recognize the finger movement disability level based on Fugl-Meyer Assessment. The EMG recorded from 4 patients when they performed 7 movements based on FMA and extracting the time domain feature values. SVM and Random Forest were employed in classifying the disability level of each movement. SVM classifier could obtain better output in movement 4 which was 91.67% of accuracy and 0.78 of f1 score.}, title = {Recognition of Finger Movement Disability Level of Post-Stroke Patient Based on Fugl-Meyer Assessment Using Surface EMG}, year = {2022} }