Difference between the surface electromyogram signals recorded from the right hand and left hand

In this paper, we aimed to investigate the difference between the surface electromyogram (sEMG) signals recorded from the right hand and left hand by means of the statistical analysis of the root mean square (RMS). Twenty-five healthy subjects participated in this experiment. For the entail 19 s rec...

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Veröffentlicht in:2017 Chinese Automation Congress (CAC) S. 4906 - 4909
Hauptverfasser: Haibin Zeng, Ke Li, Xincheng Tian, Na Wei, Rui Song, Lelai Zhou
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.10.2017
Schlagworte:
classification
Electromyography
Feature extraction
Field-flow fractionation
hand motions
Muscles
root mean square (RMS)
Statistical analysis
surface electromyogram
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Abstract In this paper, we aimed to investigate the difference between the surface electromyogram (sEMG) signals recorded from the right hand and left hand by means of the statistical analysis of the root mean square (RMS). Twenty-five healthy subjects participated in this experiment. For the entail 19 s recorded data of every repetition, we selected a window length of 250 ms data start from the beginning of every hand motion of the two hands. The statistical significance of most of the muscles between right hand and left hand was found in six hand motions. It indicated the lateralization of the brain in the control of these six hand motions. The average classification accuracy of the right hand (91.2 ± 0.383 %) was statistically higher than that of the left hand (90.1 ± 0.363 %) (p <; 0.05).
AbstractList In this paper, we aimed to investigate the difference between the surface electromyogram (sEMG) signals recorded from the right hand and left hand by means of the statistical analysis of the root mean square (RMS). Twenty-five healthy subjects participated in this experiment. For the entail 19 s recorded data of every repetition, we selected a window length of 250 ms data start from the beginning of every hand motion of the two hands. The statistical significance of most of the muscles between right hand and left hand was found in six hand motions. It indicated the lateralization of the brain in the control of these six hand motions. The average classification accuracy of the right hand (91.2 ± 0.383 %) was statistically higher than that of the left hand (90.1 ± 0.363 %) (p <; 0.05).
Author Lelai Zhou
Ke Li
Haibin Zeng
Na Wei
Xincheng Tian
Rui Song
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  surname: Haibin Zeng
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  organization: Dept. of Biomed. Eng., Shandong Univ., Jinan, China
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  surname: Ke Li
  fullname: Ke Li
  email: kli@sdu.edu.cn
  organization: Dept. of Biomed. Eng., Shandong Univ., Jinan, China
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  surname: Xincheng Tian
  fullname: Xincheng Tian
  organization: Sch. of Control Sci. & Eng., Shandong Univ., Jinan, China
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  surname: Na Wei
  fullname: Na Wei
  organization: Dept. of Geriatrics, Shandong Univ., Jinan, China
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  surname: Rui Song
  fullname: Rui Song
  organization: Sch. of Control Sci. & Eng., Shandong Univ., Jinan, China
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  surname: Lelai Zhou
  fullname: Lelai Zhou
  organization: Sch. of Control Sci. & Eng., Shandong Univ., Jinan, China
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Snippet In this paper, we aimed to investigate the difference between the surface electromyogram (sEMG) signals recorded from the right hand and left hand by means of...
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SubjectTerms classification
Electromyography
Feature extraction
Field-flow fractionation
hand motions
Muscles
root mean square (RMS)
Statistical analysis
surface electromyogram
Thumb
Title Difference between the surface electromyogram signals recorded from the right hand and left hand
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